Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a GRC Security Risk Specialist. Candidate will work on the Governance, Risk Compliance team, leads and executes the programs within the GRC team, is a subject matter expert for Information Security (consulting to technical/non-technical management and the user community), and performs key risk management functions within the Security Governance department. Primary functions include life cycle management of client responses, Policy & Standards life cycle management, Security Vendor Risk program management, Security Awareness, Controls Assurance, and GRC platform and program management. Responsibilities: Respond to security assessments, questionnaires and audits from clients and third-party business partners in a timely manner. Document and perform assessments as needed. Technical writing for policies, standards and communications. Lead in the creation and maintenance of security policies, standards, processes guidelines and support documentation. Lead, evaluate, and supports the processes necessary to assure that Information Technology (IT) systems meet the organization's cyber security and risk requirements. Ensures appropriate treatment of risk, compliance, and assurance from internal and external perspectives. Serve as a subject matter expert for Information Security consulting to technical/non-technical management and staff. Manage and support the 3rd Party Security Vendor Risk Management program and lifec-ycle. Manage the exception request process and consult as needed. Lead the Security Awareness program. This includes road-map development, measurement, and evaluation of cyber training/education courses and methods based on instructional needs. Management and support of the GRC technology platforms. Conduct evaluations of an IT program or its individual components to determine compliance with published standards. Qualifications: Bachelor's degree or five (5) years of work experience in IT Security is required. Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred. Strong knowledge on Security frameworks and technologies such as ISO 27001, NIST, SOC, SIG is required Prior IT Security experience in the legal industry experience is preferred. Technical writing experience is required. Experience with instructional content, educational writing, and technical writing strongly preferred. Four (4) years of Information Security experience required. Those containing hands on technical experience are preferred. Three or more years of experience managing timelines and being self-directed preferred. Governance, Risk, and Compliance (GRC) tool management (Administrative and/or Engineering) is preferred. Client focus, including tact and diplomacy is required. Interview, gather, and understand content from subject-matter experts Maintain accurate records and manage client security and risk requests Ability to perform as primary Security Subject Matter Expert (SME). Ability to facilitate and lead project and vendor risk assessments with relative independence and provide guidance on secure design and operation. Ability to independently complete and assist in completing client security questionnaires and security assessments concerning the Firm s security program and controls. Demonstrate the ability to create and maintain security policy, standard, guideline and procedure documents. Demonstrate the ability to communicate effectively technical topics at an appropriate level of detail to varied audiences - including IT Subject Matter Experts, senior management and non-technical users. Communicates succinctly and effectively Strong organization and problem-solving skills required Strong project and time management skills required Strong reading comprehension skills required Strong analytical ability with excellent written and verbal communication skills required Strong PC skills with Microsoft (ie Word, Excel, PowerPoint) required Ability to work independently and as a group member is required SharePoint administration is preferred for team Intranet site management Broad awareness of and exposure to diverse security tools and their capabilities, including commercial and open-source options. Strong knowledge of risk management principles and practices. Strong knowledge of security administration and role-based security controls. Strong knowledge and use of GRC platforms. Knowledge of host and network-based anti-malware technologies. Knowledge of authentication technologies and interactions between diverse authentication platforms, both on-site and remote. Knowledge of client and server Firewalling technologies and capabilities. Knowledge of security event management (SIEM), event correlation and analysis technologies. Knowledge of data encryption technologies. Strong knowledge of Intrusion Detection and Intrusion Prevention technical capabilities. Knowledge of web filtering and email SPAM prevention techniques. Knowledge of vulnerability assessment and forensic investigations tools. Knowledge of mobile device security and Mobile Device Management solutions. Knowledge of Privileged Access Management technologies. Preferred Skills: Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred.
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a GRC Security Risk Specialist. Candidate will work on the Governance, Risk Compliance team, leads and executes the programs within the GRC team, is a subject matter expert for Information Security (consulting to technical/non-technical management and the user community), and performs key risk management functions within the Security Governance department. Primary functions include life cycle management of client responses, Policy & Standards life cycle management, Security Vendor Risk program management, Security Awareness, Controls Assurance, and GRC platform and program management. Responsibilities: Respond to security assessments, questionnaires and audits from clients and third-party business partners in a timely manner. Document and perform assessments as needed. Technical writing for policies, standards and communications. Lead in the creation and maintenance of security policies, standards, processes guidelines and support documentation. Lead, evaluate, and supports the processes necessary to assure that Information Technology (IT) systems meet the organization's cyber security and risk requirements. Ensures appropriate treatment of risk, compliance, and assurance from internal and external perspectives. Serve as a subject matter expert for Information Security consulting to technical/non-technical management and staff. Manage and support the 3rd Party Security Vendor Risk Management program and lifec-ycle. Manage the exception request process and consult as needed. Lead the Security Awareness program. This includes road-map development, measurement, and evaluation of cyber training/education courses and methods based on instructional needs. Management and support of the GRC technology platforms. Conduct evaluations of an IT program or its individual components to determine compliance with published standards. Qualifications: Bachelor's degree or five (5) years of work experience in IT Security is required. Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred. Strong knowledge on Security frameworks and technologies such as ISO 27001, NIST, SOC, SIG is required Prior IT Security experience in the legal industry experience is preferred. Technical writing experience is required. Experience with instructional content, educational writing, and technical writing strongly preferred. Four (4) years of Information Security experience required. Those containing hands on technical experience are preferred. Three or more years of experience managing timelines and being self-directed preferred. Governance, Risk, and Compliance (GRC) tool management (Administrative and/or Engineering) is preferred. Client focus, including tact and diplomacy is required. Interview, gather, and understand content from subject-matter experts Maintain accurate records and manage client security and risk requests Ability to perform as primary Security Subject Matter Expert (SME). Ability to facilitate and lead project and vendor risk assessments with relative independence and provide guidance on secure design and operation. Ability to independently complete and assist in completing client security questionnaires and security assessments concerning the Firm s security program and controls. Demonstrate the ability to create and maintain security policy, standard, guideline and procedure documents. Demonstrate the ability to communicate effectively technical topics at an appropriate level of detail to varied audiences - including IT Subject Matter Experts, senior management and non-technical users. Communicates succinctly and effectively Strong organization and problem-solving skills required Strong project and time management skills required Strong reading comprehension skills required Strong analytical ability with excellent written and verbal communication skills required Strong PC skills with Microsoft (ie Word, Excel, PowerPoint) required Ability to work independently and as a group member is required SharePoint administration is preferred for team Intranet site management Broad awareness of and exposure to diverse security tools and their capabilities, including commercial and open-source options. Strong knowledge of risk management principles and practices. Strong knowledge of security administration and role-based security controls. Strong knowledge and use of GRC platforms. Knowledge of host and network-based anti-malware technologies. Knowledge of authentication technologies and interactions between diverse authentication platforms, both on-site and remote. Knowledge of client and server Firewalling technologies and capabilities. Knowledge of security event management (SIEM), event correlation and analysis technologies. Knowledge of data encryption technologies. Strong knowledge of Intrusion Detection and Intrusion Prevention technical capabilities. Knowledge of web filtering and email SPAM prevention techniques. Knowledge of vulnerability assessment and forensic investigations tools. Knowledge of mobile device security and Mobile Device Management solutions. Knowledge of Privileged Access Management technologies. Preferred Skills: Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a GRC Security Risk Specialist. Candidate will work on the Governance, Risk Compliance team, leads and executes the programs within the GRC team, is a subject matter expert for Information Security (consulting to technical/non-technical management and the user community), and performs key risk management functions within the Security Governance department. Primary functions include life cycle management of client responses, Policy & Standards life cycle management, Security Vendor Risk program management, Security Awareness, Controls Assurance, and GRC platform and program management. Responsibilities: Respond to security assessments, questionnaires and audits from clients and third-party business partners in a timely manner. Document and perform assessments as needed. Technical writing for policies, standards and communications. Lead in the creation and maintenance of security policies, standards, processes guidelines and support documentation. Lead, evaluate, and supports the processes necessary to assure that Information Technology (IT) systems meet the organization's cyber security and risk requirements. Ensures appropriate treatment of risk, compliance, and assurance from internal and external perspectives. Serve as a subject matter expert for Information Security consulting to technical/non-technical management and staff. Manage and support the 3rd Party Security Vendor Risk Management program and lifec-ycle. Manage the exception request process and consult as needed. Lead the Security Awareness program. This includes road-map development, measurement, and evaluation of cyber training/education courses and methods based on instructional needs. Management and support of the GRC technology platforms. Conduct evaluations of an IT program or its individual components to determine compliance with published standards. Qualifications: Bachelor's degree or five (5) years of work experience in IT Security is required. Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred. Strong knowledge on Security frameworks and technologies such as ISO 27001, NIST, SOC, SIG is required Prior IT Security experience in the legal industry experience is preferred. Technical writing experience is required. Experience with instructional content, educational writing, and technical writing strongly preferred. Four (4) years of Information Security experience required. Those containing hands on technical experience are preferred. Three or more years of experience managing timelines and being self-directed preferred. Governance, Risk, and Compliance (GRC) tool management (Administrative and/or Engineering) is preferred. Client focus, including tact and diplomacy is required. Interview, gather, and understand content from subject-matter experts Maintain accurate records and manage client security and risk requests Ability to perform as primary Security Subject Matter Expert (SME). Ability to facilitate and lead project and vendor risk assessments with relative independence and provide guidance on secure design and operation. Ability to independently complete and assist in completing client security questionnaires and security assessments concerning the Firm s security program and controls. Demonstrate the ability to create and maintain security policy, standard, guideline and procedure documents. Demonstrate the ability to communicate effectively technical topics at an appropriate level of detail to varied audiences - including IT Subject Matter Experts, senior management and non-technical users. Communicates succinctly and effectively Strong organization and problem-solving skills required Strong project and time management skills required Strong reading comprehension skills required Strong analytical ability with excellent written and verbal communication skills required Strong PC skills with Microsoft (ie Word, Excel, PowerPoint) required Ability to work independently and as a group member is required SharePoint administration is preferred for team Intranet site management Broad awareness of and exposure to diverse security tools and their capabilities, including commercial and open-source options. Strong knowledge of risk management principles and practices. Strong knowledge of security administration and role-based security controls. Strong knowledge and use of GRC platforms. Knowledge of host and network-based anti-malware technologies. Knowledge of authentication technologies and interactions between diverse authentication platforms, both on-site and remote. Knowledge of client and server Firewalling technologies and capabilities. Knowledge of security event management (SIEM), event correlation and analysis technologies. Knowledge of data encryption technologies. Strong knowledge of Intrusion Detection and Intrusion Prevention technical capabilities. Knowledge of web filtering and email SPAM prevention techniques. Knowledge of vulnerability assessment and forensic investigations tools. Knowledge of mobile device security and Mobile Device Management solutions. Knowledge of Privileged Access Management technologies. Preferred Skills: Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred.
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a GRC Security Risk Specialist. Candidate will work on the Governance, Risk Compliance team, leads and executes the programs within the GRC team, is a subject matter expert for Information Security (consulting to technical/non-technical management and the user community), and performs key risk management functions within the Security Governance department. Primary functions include life cycle management of client responses, Policy & Standards life cycle management, Security Vendor Risk program management, Security Awareness, Controls Assurance, and GRC platform and program management. Responsibilities: Respond to security assessments, questionnaires and audits from clients and third-party business partners in a timely manner. Document and perform assessments as needed. Technical writing for policies, standards and communications. Lead in the creation and maintenance of security policies, standards, processes guidelines and support documentation. Lead, evaluate, and supports the processes necessary to assure that Information Technology (IT) systems meet the organization's cyber security and risk requirements. Ensures appropriate treatment of risk, compliance, and assurance from internal and external perspectives. Serve as a subject matter expert for Information Security consulting to technical/non-technical management and staff. Manage and support the 3rd Party Security Vendor Risk Management program and lifec-ycle. Manage the exception request process and consult as needed. Lead the Security Awareness program. This includes road-map development, measurement, and evaluation of cyber training/education courses and methods based on instructional needs. Management and support of the GRC technology platforms. Conduct evaluations of an IT program or its individual components to determine compliance with published standards. Qualifications: Bachelor's degree or five (5) years of work experience in IT Security is required. Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred. Strong knowledge on Security frameworks and technologies such as ISO 27001, NIST, SOC, SIG is required Prior IT Security experience in the legal industry experience is preferred. Technical writing experience is required. Experience with instructional content, educational writing, and technical writing strongly preferred. Four (4) years of Information Security experience required. Those containing hands on technical experience are preferred. Three or more years of experience managing timelines and being self-directed preferred. Governance, Risk, and Compliance (GRC) tool management (Administrative and/or Engineering) is preferred. Client focus, including tact and diplomacy is required. Interview, gather, and understand content from subject-matter experts Maintain accurate records and manage client security and risk requests Ability to perform as primary Security Subject Matter Expert (SME). Ability to facilitate and lead project and vendor risk assessments with relative independence and provide guidance on secure design and operation. Ability to independently complete and assist in completing client security questionnaires and security assessments concerning the Firm s security program and controls. Demonstrate the ability to create and maintain security policy, standard, guideline and procedure documents. Demonstrate the ability to communicate effectively technical topics at an appropriate level of detail to varied audiences - including IT Subject Matter Experts, senior management and non-technical users. Communicates succinctly and effectively Strong organization and problem-solving skills required Strong project and time management skills required Strong reading comprehension skills required Strong analytical ability with excellent written and verbal communication skills required Strong PC skills with Microsoft (ie Word, Excel, PowerPoint) required Ability to work independently and as a group member is required SharePoint administration is preferred for team Intranet site management Broad awareness of and exposure to diverse security tools and their capabilities, including commercial and open-source options. Strong knowledge of risk management principles and practices. Strong knowledge of security administration and role-based security controls. Strong knowledge and use of GRC platforms. Knowledge of host and network-based anti-malware technologies. Knowledge of authentication technologies and interactions between diverse authentication platforms, both on-site and remote. Knowledge of client and server Firewalling technologies and capabilities. Knowledge of security event management (SIEM), event correlation and analysis technologies. Knowledge of data encryption technologies. Strong knowledge of Intrusion Detection and Intrusion Prevention technical capabilities. Knowledge of web filtering and email SPAM prevention techniques. Knowledge of vulnerability assessment and forensic investigations tools. Knowledge of mobile device security and Mobile Device Management solutions. Knowledge of Privileged Access Management technologies. Preferred Skills: Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred.
Request Technology - Craig Johnson
New York, New York
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Los Angeles (Downtown), California
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Power Platform Developer Bristol/Hybrid (1x a month Onsite) - up to £50,000 Excellent Benefits including Private Healthcare, 10% Bonus Opportunity A leading client in the legal sector are looking for a Power Platform Developer to join their agile Software Development department. You'll be responsible for driving forwards their use of Power Platform and related software (Power Apps, Power Automate, Power Pages etc.) in collaboration with the existing team. What is in it for me with this Power Platform Developer role? Opportunity to work with Power Platform and develop your expertise in this further, working with your manager who is an expert in this field Access to funded external training for learning and development Huge investment from the business into Power Platform technologies A genuinely progressive, friendly and positive working environment Flexible working - minimum 1 day a month in the central Bristol office (more if you would prefer!) Excellent benefits package - Private Healthcare cover, bonus of up to 10%, Holidays increasing to 30 days Day-to-Day responsibilities for the Power Platform Developer role: You will be working alongside a development team who all use Power Platform, but they need a dedicated team member to be the Power Platform pro, and push forward their use across the business! You'll be developing, configuring, and customising Power Pages, Power Automate Processes, and Power Apps Create progressive Power Platform solutions across the various stages of the SDLC You'll need 1 year + of experience in Power Platform and associated tools to be considered for this role This organisation is going through significant development of their Power Platform usage, and this Power Platform Developer role offers an excellent opportunity for someone to contribute to the current and future success of the team. Please apply directly to be considered for this Power Platform Developer role.
15/05/2024
Full time
Power Platform Developer Bristol/Hybrid (1x a month Onsite) - up to £50,000 Excellent Benefits including Private Healthcare, 10% Bonus Opportunity A leading client in the legal sector are looking for a Power Platform Developer to join their agile Software Development department. You'll be responsible for driving forwards their use of Power Platform and related software (Power Apps, Power Automate, Power Pages etc.) in collaboration with the existing team. What is in it for me with this Power Platform Developer role? Opportunity to work with Power Platform and develop your expertise in this further, working with your manager who is an expert in this field Access to funded external training for learning and development Huge investment from the business into Power Platform technologies A genuinely progressive, friendly and positive working environment Flexible working - minimum 1 day a month in the central Bristol office (more if you would prefer!) Excellent benefits package - Private Healthcare cover, bonus of up to 10%, Holidays increasing to 30 days Day-to-Day responsibilities for the Power Platform Developer role: You will be working alongside a development team who all use Power Platform, but they need a dedicated team member to be the Power Platform pro, and push forward their use across the business! You'll be developing, configuring, and customising Power Pages, Power Automate Processes, and Power Apps Create progressive Power Platform solutions across the various stages of the SDLC You'll need 1 year + of experience in Power Platform and associated tools to be considered for this role This organisation is going through significant development of their Power Platform usage, and this Power Platform Developer role offers an excellent opportunity for someone to contribute to the current and future success of the team. Please apply directly to be considered for this Power Platform Developer role.
The Information Manager will be a key figure within our Analytics department in the public sector, based in Cardiff. They will oversee data management, ensuring accuracy, compliance and utilisation of information to drive strategic decisions. Client Details Our client is a large public sector company in the transport industry. With over 1,000 employees, they are headquartered in Cardiff and committed to improving transport services across Wales. Description Transport for Wales (TfW) is the not-for-profit company driving forward the Welsh Government's vision of a high-quality, safe, integrated, affordable and accessible transport network in Wales. Our mission is to 'Keep Wales Moving' by providing customer-focused services, expert advice, and infrastructure investment. The Information Management of the IT & Digital Services Directorate will lead, shape and delivery information management and records management in TfW Enterprise Information Management System The Head of Information Management will support the development of a wider strategy within TfW by creating an Information Management strategy, standards and governance to ensure compliance with legal and regulatory requirements reflects best practice, is in line with our strategic objectives and continuous improvement. Develop and implement data management strategies and processes. Maintain data governance and compliance with GDPR. Oversee the collection, storage, and analysis of business data. Collaborate with IT team to ensure data security and solve technical issues. Prepare detailed reports for stakeholders based on data analysis. Identify and recommend new ways to streamline business processes. Ensure data accuracy and consistency across all platforms. Liaise with different departments to gather information and fulfil data requirements. Profile A successful Information Manager should have: * Strong knowledge of information protection, information security, automation, information architecture and governance principals * Excellent strategic thinking and advisory skills * Ability to collaborate effectively with cross-functional teams. * In depth understanding of industry best practices and emerging trends in information management * A thorough understanding and demonstrable experience of working on the Public Records Act and other relevant regulations * Strong knowledge on Microsoft environment on the use of Microsoft as an Enterprise Information Management System. Job Offer A competitive salary in the region of £54,000 per annum. Generous holiday entitlement. Commitment to professional development and career progression. A positive and collaborative company culture, with a focus on employee wellbeing. We strongly encourage talented individuals who believe they can meet the expectations of this role to apply. This is an excellent opportunity to grow professionally within the public sector in Cardiff.
15/05/2024
Full time
The Information Manager will be a key figure within our Analytics department in the public sector, based in Cardiff. They will oversee data management, ensuring accuracy, compliance and utilisation of information to drive strategic decisions. Client Details Our client is a large public sector company in the transport industry. With over 1,000 employees, they are headquartered in Cardiff and committed to improving transport services across Wales. Description Transport for Wales (TfW) is the not-for-profit company driving forward the Welsh Government's vision of a high-quality, safe, integrated, affordable and accessible transport network in Wales. Our mission is to 'Keep Wales Moving' by providing customer-focused services, expert advice, and infrastructure investment. The Information Management of the IT & Digital Services Directorate will lead, shape and delivery information management and records management in TfW Enterprise Information Management System The Head of Information Management will support the development of a wider strategy within TfW by creating an Information Management strategy, standards and governance to ensure compliance with legal and regulatory requirements reflects best practice, is in line with our strategic objectives and continuous improvement. Develop and implement data management strategies and processes. Maintain data governance and compliance with GDPR. Oversee the collection, storage, and analysis of business data. Collaborate with IT team to ensure data security and solve technical issues. Prepare detailed reports for stakeholders based on data analysis. Identify and recommend new ways to streamline business processes. Ensure data accuracy and consistency across all platforms. Liaise with different departments to gather information and fulfil data requirements. Profile A successful Information Manager should have: * Strong knowledge of information protection, information security, automation, information architecture and governance principals * Excellent strategic thinking and advisory skills * Ability to collaborate effectively with cross-functional teams. * In depth understanding of industry best practices and emerging trends in information management * A thorough understanding and demonstrable experience of working on the Public Records Act and other relevant regulations * Strong knowledge on Microsoft environment on the use of Microsoft as an Enterprise Information Management System. Job Offer A competitive salary in the region of £54,000 per annum. Generous holiday entitlement. Commitment to professional development and career progression. A positive and collaborative company culture, with a focus on employee wellbeing. We strongly encourage talented individuals who believe they can meet the expectations of this role to apply. This is an excellent opportunity to grow professionally within the public sector in Cardiff.
Director, AI and Data Science Salary: Open + Bonus Available in any of the following locations: Chicago, IL/Houston, TX/Salt Lake City, UT Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. 10+ years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector.
14/05/2024
Full time
Director, AI and Data Science Salary: Open + Bonus Available in any of the following locations: Chicago, IL/Houston, TX/Salt Lake City, UT Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. 10+ years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
14/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
Request Technology - Craig Johnson
New York, New York
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Senior .NET Product Engineer with Azure experience. Candidate will be responsible for delivering custom business solutions using the Microsoft technology stack. The individual will lead and coordinate projects from a technology perspective, following secure SDLC activities and standards that are consistent with best practices. The individual will drive the design and development of user interfaces, business objectives and overall infrastructure. Responsibilities: Analyze, design, configure, develop and implement intermediate-level solutions to meet business needs and objectives. Work, as directed, with business owners, other IT teams, and vendors to create integrations both to/from vendors. Provide Level 3 support. Investigates operational or systematic problems and provides resolution using intermediate analytical skills and tools as necessary. Prepare project proposals and develop project plans. May lead small projects. Maintain up-to-date awareness of current and future directions of business industry and associated technologies. Investigate and document present procedures as liaison with user departments. May develop and maintain application security, design and documentation according to legal compliance requirements. Effectively listens to understand and articulates technical and non-technical information (both written and oral formats) to customers, peers and/or management in a one-on-one or team context with some oversight. Provides production support activities, including advanced technical writing. Documents small to medium scale projects with some supervision, and may be involved in developing and delivering presentations to aid in custom product development decision making. Manages organizational development by dissecting complex situations and refocusing on the most critical technology tasks. Contributes through technical expertise/professional experience in solving problems and/or delivering on opportunities facing the team or group. Provides feedback to management on strategic recommendations. Fosters environment of innovation and change. Aligns changes with the organization's strategic direction and objectives and customer expectations. Recognizes the scope of problems and understands the impact of changes on others. Identifies short and long-range organizational needs. Creates a clear focus on internal and external customer needs. Qualifications: Bachelor's Degree is preferred in mechanical, computer, or electrical engineering discipline. 8 plus years of software development experience with 6 plus years of web-based software development in .NET technologies (C#, .NET Framework, .NET Core, Docker, MVC, SQL Server). Prior experience developing MSOffice add-Ins in Word, Outlook and Excel Prior experience with ASP.NET MVC (versions 4 and up), .NET Core, WCF, Restful services, JavaScript, jQuery, HTML5/CSS3, React, responsive design, and Dependency Injection frameworks are desired. Experience with ORM with different tools such as Entity Framework and LINQ. Experience working with container-based solutions Experience with continuous integration with Azure DevOps, Git (or similar). Should have strong understanding of SOA, TDD, SOLID principles, and systems architecture concepts. Must be familiar with agile or other iterative development methodologies. Must possess requirement and component level estimation, database design and development skills. Experience in a law firm or global professional services environment preferred. Knowledge of Microsoft Azure technologies. Working with low code platforms like IntApp platform is a plus. Must understand Microsoft Windows Operating system architecture Must understand Microsoft Windows Office System Ability to participate in all aspects of application SDLC including Agile methodologies Must have experience the Microsoft Visual Studio and ADO Must participate in daily team scrums and code reviews Must understand Microsoft SQL Server Technologies: Microsoft Visual Studio 2019/2021 Azure DevOps .NET Framework, .NET Core, Rest API services, WCF Services C#, VB.NET, JQuery, JavaScript, Typescript, React, LINQ, HTML5, CSS3, Bootstrap SQL Server, PostgreSQL Docker MVC Framework Entity Framework Knowledge of SOA (Service Oriented Architecture) and N-Tier Architecture. Advanced Awareness of the Software Development Life Cycle and development methodology (ie Scrum Agile)
14/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Senior .NET Product Engineer with Azure experience. Candidate will be responsible for delivering custom business solutions using the Microsoft technology stack. The individual will lead and coordinate projects from a technology perspective, following secure SDLC activities and standards that are consistent with best practices. The individual will drive the design and development of user interfaces, business objectives and overall infrastructure. Responsibilities: Analyze, design, configure, develop and implement intermediate-level solutions to meet business needs and objectives. Work, as directed, with business owners, other IT teams, and vendors to create integrations both to/from vendors. Provide Level 3 support. Investigates operational or systematic problems and provides resolution using intermediate analytical skills and tools as necessary. Prepare project proposals and develop project plans. May lead small projects. Maintain up-to-date awareness of current and future directions of business industry and associated technologies. Investigate and document present procedures as liaison with user departments. May develop and maintain application security, design and documentation according to legal compliance requirements. Effectively listens to understand and articulates technical and non-technical information (both written and oral formats) to customers, peers and/or management in a one-on-one or team context with some oversight. Provides production support activities, including advanced technical writing. Documents small to medium scale projects with some supervision, and may be involved in developing and delivering presentations to aid in custom product development decision making. Manages organizational development by dissecting complex situations and refocusing on the most critical technology tasks. Contributes through technical expertise/professional experience in solving problems and/or delivering on opportunities facing the team or group. Provides feedback to management on strategic recommendations. Fosters environment of innovation and change. Aligns changes with the organization's strategic direction and objectives and customer expectations. Recognizes the scope of problems and understands the impact of changes on others. Identifies short and long-range organizational needs. Creates a clear focus on internal and external customer needs. Qualifications: Bachelor's Degree is preferred in mechanical, computer, or electrical engineering discipline. 8 plus years of software development experience with 6 plus years of web-based software development in .NET technologies (C#, .NET Framework, .NET Core, Docker, MVC, SQL Server). Prior experience developing MSOffice add-Ins in Word, Outlook and Excel Prior experience with ASP.NET MVC (versions 4 and up), .NET Core, WCF, Restful services, JavaScript, jQuery, HTML5/CSS3, React, responsive design, and Dependency Injection frameworks are desired. Experience with ORM with different tools such as Entity Framework and LINQ. Experience working with container-based solutions Experience with continuous integration with Azure DevOps, Git (or similar). Should have strong understanding of SOA, TDD, SOLID principles, and systems architecture concepts. Must be familiar with agile or other iterative development methodologies. Must possess requirement and component level estimation, database design and development skills. Experience in a law firm or global professional services environment preferred. Knowledge of Microsoft Azure technologies. Working with low code platforms like IntApp platform is a plus. Must understand Microsoft Windows Operating system architecture Must understand Microsoft Windows Office System Ability to participate in all aspects of application SDLC including Agile methodologies Must have experience the Microsoft Visual Studio and ADO Must participate in daily team scrums and code reviews Must understand Microsoft SQL Server Technologies: Microsoft Visual Studio 2019/2021 Azure DevOps .NET Framework, .NET Core, Rest API services, WCF Services C#, VB.NET, JQuery, JavaScript, Typescript, React, LINQ, HTML5, CSS3, Bootstrap SQL Server, PostgreSQL Docker MVC Framework Entity Framework Knowledge of SOA (Service Oriented Architecture) and N-Tier Architecture. Advanced Awareness of the Software Development Life Cycle and development methodology (ie Scrum Agile)
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Senior .NET Product Engineer with Azure experience. Candidate will be responsible for delivering custom business solutions using the Microsoft technology stack. The individual will lead and coordinate projects from a technology perspective, following secure SDLC activities and standards that are consistent with best practices. The individual will drive the design and development of user interfaces, business objectives and overall infrastructure. Responsibilities: Analyze, design, configure, develop and implement intermediate-level solutions to meet business needs and objectives. Work, as directed, with business owners, other IT teams, and vendors to create integrations both to/from vendors. Provide Level 3 support. Investigates operational or systematic problems and provides resolution using intermediate analytical skills and tools as necessary. Prepare project proposals and develop project plans. May lead small projects. Maintain up-to-date awareness of current and future directions of business industry and associated technologies. Investigate and document present procedures as liaison with user departments. May develop and maintain application security, design and documentation according to legal compliance requirements. Effectively listens to understand and articulates technical and non-technical information (both written and oral formats) to customers, peers and/or management in a one-on-one or team context with some oversight. Provides production support activities, including advanced technical writing. Documents small to medium scale projects with some supervision, and may be involved in developing and delivering presentations to aid in custom product development decision making. Manages organizational development by dissecting complex situations and refocusing on the most critical technology tasks. Contributes through technical expertise/professional experience in solving problems and/or delivering on opportunities facing the team or group. Provides feedback to management on strategic recommendations. Fosters environment of innovation and change. Aligns changes with the organization's strategic direction and objectives and customer expectations. Recognizes the scope of problems and understands the impact of changes on others. Identifies short and long-range organizational needs. Creates a clear focus on internal and external customer needs. Qualifications: Bachelor's Degree is preferred in mechanical, computer, or electrical engineering discipline. 8 plus years of software development experience with 6 plus years of web-based software development in .NET technologies (C#, .NET Framework, .NET Core, Docker, MVC, SQL Server). Prior experience developing MSOffice add-Ins in Word, Outlook and Excel Prior experience with ASP.NET MVC (versions 4 and up), .NET Core, WCF, Restful services, JavaScript, jQuery, HTML5/CSS3, React, responsive design, and Dependency Injection frameworks are desired. Experience with ORM with different tools such as Entity Framework and LINQ. Experience working with container-based solutions Experience with continuous integration with Azure DevOps, Git (or similar). Should have strong understanding of SOA, TDD, SOLID principles, and systems architecture concepts. Must be familiar with agile or other iterative development methodologies. Must possess requirement and component level estimation, database design and development skills. Experience in a law firm or global professional services environment preferred. Knowledge of Microsoft Azure technologies. Working with low code platforms like IntApp platform is a plus. Must understand Microsoft Windows Operating system architecture Must understand Microsoft Windows Office System Ability to participate in all aspects of application SDLC including Agile methodologies Must have experience the Microsoft Visual Studio and ADO Must participate in daily team scrums and code reviews Must understand Microsoft SQL Server Technologies: Microsoft Visual Studio 2019/2021 Azure DevOps .NET Framework, .NET Core, Rest API services, WCF Services C#, VB.NET, JQuery, JavaScript, Typescript, React, LINQ, HTML5, CSS3, Bootstrap SQL Server, PostgreSQL Docker MVC Framework Entity Framework Knowledge of SOA (Service Oriented Architecture) and N-Tier Architecture. Advanced Awareness of the Software Development Life Cycle and development methodology (ie Scrum Agile)
14/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Senior .NET Product Engineer with Azure experience. Candidate will be responsible for delivering custom business solutions using the Microsoft technology stack. The individual will lead and coordinate projects from a technology perspective, following secure SDLC activities and standards that are consistent with best practices. The individual will drive the design and development of user interfaces, business objectives and overall infrastructure. Responsibilities: Analyze, design, configure, develop and implement intermediate-level solutions to meet business needs and objectives. Work, as directed, with business owners, other IT teams, and vendors to create integrations both to/from vendors. Provide Level 3 support. Investigates operational or systematic problems and provides resolution using intermediate analytical skills and tools as necessary. Prepare project proposals and develop project plans. May lead small projects. Maintain up-to-date awareness of current and future directions of business industry and associated technologies. Investigate and document present procedures as liaison with user departments. May develop and maintain application security, design and documentation according to legal compliance requirements. Effectively listens to understand and articulates technical and non-technical information (both written and oral formats) to customers, peers and/or management in a one-on-one or team context with some oversight. Provides production support activities, including advanced technical writing. Documents small to medium scale projects with some supervision, and may be involved in developing and delivering presentations to aid in custom product development decision making. Manages organizational development by dissecting complex situations and refocusing on the most critical technology tasks. Contributes through technical expertise/professional experience in solving problems and/or delivering on opportunities facing the team or group. Provides feedback to management on strategic recommendations. Fosters environment of innovation and change. Aligns changes with the organization's strategic direction and objectives and customer expectations. Recognizes the scope of problems and understands the impact of changes on others. Identifies short and long-range organizational needs. Creates a clear focus on internal and external customer needs. Qualifications: Bachelor's Degree is preferred in mechanical, computer, or electrical engineering discipline. 8 plus years of software development experience with 6 plus years of web-based software development in .NET technologies (C#, .NET Framework, .NET Core, Docker, MVC, SQL Server). Prior experience developing MSOffice add-Ins in Word, Outlook and Excel Prior experience with ASP.NET MVC (versions 4 and up), .NET Core, WCF, Restful services, JavaScript, jQuery, HTML5/CSS3, React, responsive design, and Dependency Injection frameworks are desired. Experience with ORM with different tools such as Entity Framework and LINQ. Experience working with container-based solutions Experience with continuous integration with Azure DevOps, Git (or similar). Should have strong understanding of SOA, TDD, SOLID principles, and systems architecture concepts. Must be familiar with agile or other iterative development methodologies. Must possess requirement and component level estimation, database design and development skills. Experience in a law firm or global professional services environment preferred. Knowledge of Microsoft Azure technologies. Working with low code platforms like IntApp platform is a plus. Must understand Microsoft Windows Operating system architecture Must understand Microsoft Windows Office System Ability to participate in all aspects of application SDLC including Agile methodologies Must have experience the Microsoft Visual Studio and ADO Must participate in daily team scrums and code reviews Must understand Microsoft SQL Server Technologies: Microsoft Visual Studio 2019/2021 Azure DevOps .NET Framework, .NET Core, Rest API services, WCF Services C#, VB.NET, JQuery, JavaScript, Typescript, React, LINQ, HTML5, CSS3, Bootstrap SQL Server, PostgreSQL Docker MVC Framework Entity Framework Knowledge of SOA (Service Oriented Architecture) and N-Tier Architecture. Advanced Awareness of the Software Development Life Cycle and development methodology (ie Scrum Agile)
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
14/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Senior .NET Product Engineer with Azure experience. Candidate will be responsible for delivering custom business solutions using the Microsoft technology stack. The individual will lead and coordinate projects from a technology perspective, following secure SDLC activities and standards that are consistent with best practices. The individual will drive the design and development of user interfaces, business objectives and overall infrastructure. Responsibilities: Analyze, design, configure, develop and implement intermediate-level solutions to meet business needs and objectives. Work, as directed, with business owners, other IT teams, and vendors to create integrations both to/from vendors. Provide Level 3 support. Investigates operational or systematic problems and provides resolution using intermediate analytical skills and tools as necessary. Prepare project proposals and develop project plans. May lead small projects. Maintain up-to-date awareness of current and future directions of business industry and associated technologies. Investigate and document present procedures as liaison with user departments. May develop and maintain application security, design and documentation according to legal compliance requirements. Effectively listens to understand and articulates technical and non-technical information (both written and oral formats) to customers, peers and/or management in a one-on-one or team context with some oversight. Provides production support activities, including advanced technical writing. Documents small to medium scale projects with some supervision, and may be involved in developing and delivering presentations to aid in custom product development decision making. Manages organizational development by dissecting complex situations and refocusing on the most critical technology tasks. Contributes through technical expertise/professional experience in solving problems and/or delivering on opportunities facing the team or group. Provides feedback to management on strategic recommendations. Fosters environment of innovation and change. Aligns changes with the organization's strategic direction and objectives and customer expectations. Recognizes the scope of problems and understands the impact of changes on others. Identifies short and long-range organizational needs. Creates a clear focus on internal and external customer needs. Qualifications: Bachelor's Degree is preferred in mechanical, computer, or electrical engineering discipline. 8 plus years of software development experience with 6 plus years of web-based software development in .NET technologies (C#, .NET Framework, .NET Core, Docker, MVC, SQL Server). Prior experience developing MSOffice add-Ins in Word, Outlook and Excel Prior experience with ASP.NET MVC (versions 4 and up), .NET Core, WCF, Restful services, JavaScript, jQuery, HTML5/CSS3, React, responsive design, and Dependency Injection frameworks are desired. Experience with ORM with different tools such as Entity Framework and LINQ. Experience working with container-based solutions Experience with continuous integration with Azure DevOps, Git (or similar). Should have strong understanding of SOA, TDD, SOLID principles, and systems architecture concepts. Must be familiar with agile or other iterative development methodologies. Must possess requirement and component level estimation, database design and development skills. Experience in a law firm or global professional services environment preferred. Knowledge of Microsoft Azure technologies. Working with low code platforms like IntApp platform is a plus. Must understand Microsoft Windows Operating system architecture Must understand Microsoft Windows Office System Ability to participate in all aspects of application SDLC including Agile methodologies Must have experience the Microsoft Visual Studio and ADO Must participate in daily team scrums and code reviews Must understand Microsoft SQL Server Technologies: Microsoft Visual Studio 2019/2021 Azure DevOps .NET Framework, .NET Core, Rest API services, WCF Services C#, VB.NET, JQuery, JavaScript, Typescript, React, LINQ, HTML5, CSS3, Bootstrap SQL Server, PostgreSQL Docker MVC Framework Entity Framework Knowledge of SOA (Service Oriented Architecture) and N-Tier Architecture. Advanced Awareness of the Software Development Life Cycle and development methodology (ie Scrum Agile)
30/04/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Senior .NET Product Engineer with Azure experience. Candidate will be responsible for delivering custom business solutions using the Microsoft technology stack. The individual will lead and coordinate projects from a technology perspective, following secure SDLC activities and standards that are consistent with best practices. The individual will drive the design and development of user interfaces, business objectives and overall infrastructure. Responsibilities: Analyze, design, configure, develop and implement intermediate-level solutions to meet business needs and objectives. Work, as directed, with business owners, other IT teams, and vendors to create integrations both to/from vendors. Provide Level 3 support. Investigates operational or systematic problems and provides resolution using intermediate analytical skills and tools as necessary. Prepare project proposals and develop project plans. May lead small projects. Maintain up-to-date awareness of current and future directions of business industry and associated technologies. Investigate and document present procedures as liaison with user departments. May develop and maintain application security, design and documentation according to legal compliance requirements. Effectively listens to understand and articulates technical and non-technical information (both written and oral formats) to customers, peers and/or management in a one-on-one or team context with some oversight. Provides production support activities, including advanced technical writing. Documents small to medium scale projects with some supervision, and may be involved in developing and delivering presentations to aid in custom product development decision making. Manages organizational development by dissecting complex situations and refocusing on the most critical technology tasks. Contributes through technical expertise/professional experience in solving problems and/or delivering on opportunities facing the team or group. Provides feedback to management on strategic recommendations. Fosters environment of innovation and change. Aligns changes with the organization's strategic direction and objectives and customer expectations. Recognizes the scope of problems and understands the impact of changes on others. Identifies short and long-range organizational needs. Creates a clear focus on internal and external customer needs. Qualifications: Bachelor's Degree is preferred in mechanical, computer, or electrical engineering discipline. 8 plus years of software development experience with 6 plus years of web-based software development in .NET technologies (C#, .NET Framework, .NET Core, Docker, MVC, SQL Server). Prior experience developing MSOffice add-Ins in Word, Outlook and Excel Prior experience with ASP.NET MVC (versions 4 and up), .NET Core, WCF, Restful services, JavaScript, jQuery, HTML5/CSS3, React, responsive design, and Dependency Injection frameworks are desired. Experience with ORM with different tools such as Entity Framework and LINQ. Experience working with container-based solutions Experience with continuous integration with Azure DevOps, Git (or similar). Should have strong understanding of SOA, TDD, SOLID principles, and systems architecture concepts. Must be familiar with agile or other iterative development methodologies. Must possess requirement and component level estimation, database design and development skills. Experience in a law firm or global professional services environment preferred. Knowledge of Microsoft Azure technologies. Working with low code platforms like IntApp platform is a plus. Must understand Microsoft Windows Operating system architecture Must understand Microsoft Windows Office System Ability to participate in all aspects of application SDLC including Agile methodologies Must have experience the Microsoft Visual Studio and ADO Must participate in daily team scrums and code reviews Must understand Microsoft SQL Server Technologies: Microsoft Visual Studio 2019/2021 Azure DevOps .NET Framework, .NET Core, Rest API services, WCF Services C#, VB.NET, JQuery, JavaScript, Typescript, React, LINQ, HTML5, CSS3, Bootstrap SQL Server, PostgreSQL Docker MVC Framework Entity Framework Knowledge of SOA (Service Oriented Architecture) and N-Tier Architecture. Advanced Awareness of the Software Development Life Cycle and development methodology (ie Scrum Agile)