Strategic: By supporting the project in the areas of team organization, documentation control and cost allocation in SAP/WBS, the project liaison team leader will see their role and responsibility increase with the development of the project through the design phases. Every new design phase will bring additional needs and workload, driven by the implementation and closure phases requiring a higher contribution of this function, thus a higher need of good coordination. This function provides an important assistance to the design engineers by allowing them to focus mainly in the engineering design and removing from them the workload of project organization tasks. The project liaison team leader has a key role in expansion projects to guarantee that all purchase orders of the project are correctly allocated to the correspondent WBS, hence guaranteeing a good knowledge and control of the project budget, as well as, the documentation generated by the project is correctly logged, distributed and archived Scope of the mission Integrating the project team, the project liaison team leader is responsible to lead the team which coordinates project documentation flows and archive, establishes systems to manage/track purchase orders and goods receipts, responsible management of miscellaneous non-PO purchases, establish and maintain systems for allocation of project costs in SAP/WBS, and all aspects related with the organization of the engineering team: welcoming new team members, developing individualized onboarding plans, support their needs, organize the project gate reviews and monthly review meetings Primary Tasks and responsibilities: . Onboarding of new employees: o Lead, with support from the Regional Program Director, in onboarding of new employees to the engineering organization o Work with new employees' direct supervisors to develop individual training plans tailored to the needs of their role, along with base knowledge/expectations of the engineering organization o Plan and prepare the logistic needs for new team members, including system/security access, supplies/equipment, travel arrangements, and other business support. * Cost control: o Establish and maintain systems to issue and track purchase orders in SAP, guaranteeing correct WBS allocation o Coach and Support Project Liaison to issue and track Shopping Carts (SCs), Purchase Orders (POs) and goods receipts (GRs) in SAP in a timely manner o Coach and Support Project Controls to Actively manage SAP/WBS cost allocation and highlight variations o Provide actuals per WBS to support forecasting by Project Managers o Stewardship of Engineering procurement card (ProCard) for all non-travel related miscellaneous purchases, ensuring appropriate use of Procard vs Purchase Order, leadership approval according to Local Approval Matrix (LAM) o Consolidate quarterly and monthly project cost forecast reported by PM o Update forecasts in Planisware o Oversee updating of SAP/ARIBA files o Monthly Headcount allocation to appropriate WBS accounts for all active projects & waves within the region/site o Report actual costs of the yearly Engineering department budgets * Leadership of the Liaison Team o Manage of daily miscellaneous requirements and admin tasks o Manage and delegate administrative tasks and project priorities o Manage and delegate department administrative work such as organizing the monthly department meetings, annual outing, travel, visitors, teambuilding activities, etc o Maintain and manage a healthy and motivating work environment o Improve and formalize monthly departmental reports/meeting * Leadership of the Document Control Team: o Organize, distribute and archive all project documents, guaranteeing proper archiving rules to support claims to contractors and EPCm partners o Manage the project folder access Matrix, maintain project transmittals, archiving engineering deliverables and permitting docs on project Servers * Department Communication: o Responsible for all aspect of internal and external communication within local Engineering department o Manage visual branding display in department o Work closely with HR/GSS/EHS team * Facilities management: o Responsible for facilities operations within the department o Liaise with facilities contractors, responsible to maintain engineering facilities o Managing repairs, maintenance and replacement in the engineering facilities o Working together with EHS regarding fire safety procedures in the engineering facilities * General duties: o Carry out assigned tasks and duties in a safe manner, in accordance with instructions, and to comply with environmental, health & safety rules/procedures, regulations and codes of practice. o Perform engineering and technical support to the projects when needed, undertaking any additional tasks commensurate with the role as and when required. o rules and procedures set down: Technical Profile requirements: . University degree or College diploma specializing in business administration or a technical field . Experience and/or background in industrial companies, preferably linked to engineering or . operations . Competent and fluent (written and verbal) in Spanish and English . Computer literacy with good working knowledge of the MS Office package . Experience with SAP and Ariba software . Knowledge of EHS standards and industry good practices . Must have the Knowledge, Experience and Skills to conduct their tasks in accordance with the Non-Technical Profile Requirements : . Organized . Team worker . Result oriented and timely delivery . Positive mindset . Capable to work in Matrix organizations . Problem and conflict solver . Flexible and resilient to work in ambiguous situations with limited supervision . Coaching skills . Good communication Location: . North of Spain, exact location remains confidential till at least early July . Until EOY 2024 remote work, afterwards consultants are expected to work onsite Business Travel: . Travel will be required and outside Spain reimbursed via expenses Contract: . Long term contract . Confirmation of the mission will take place before 1/7 . Official confirmation and contract creation scheduled for early July Start: . Objective +- 1st of August . Consultants can perform notice if 4-6 weeks, longer is to discuss with the manager . Consultants cannot take long holidays in July/August after start due to the high workload Languages: . Fluent In Spanish & English Rate: . Market-level Rates for Spain . All-in Rate for Remote and local presence at SPAIN . No expenses accepted Reason for Hire Specific Skills Required for Project Safety Equipment Not applicable (keep in mind that for Olen and Hoboken sites a neon vest is mandatory) Additional Safety Equipment to be provided by Supplier n.a. Travel Required? Yes Travel percentage- 10%
16/05/2024
Full time
Strategic: By supporting the project in the areas of team organization, documentation control and cost allocation in SAP/WBS, the project liaison team leader will see their role and responsibility increase with the development of the project through the design phases. Every new design phase will bring additional needs and workload, driven by the implementation and closure phases requiring a higher contribution of this function, thus a higher need of good coordination. This function provides an important assistance to the design engineers by allowing them to focus mainly in the engineering design and removing from them the workload of project organization tasks. The project liaison team leader has a key role in expansion projects to guarantee that all purchase orders of the project are correctly allocated to the correspondent WBS, hence guaranteeing a good knowledge and control of the project budget, as well as, the documentation generated by the project is correctly logged, distributed and archived Scope of the mission Integrating the project team, the project liaison team leader is responsible to lead the team which coordinates project documentation flows and archive, establishes systems to manage/track purchase orders and goods receipts, responsible management of miscellaneous non-PO purchases, establish and maintain systems for allocation of project costs in SAP/WBS, and all aspects related with the organization of the engineering team: welcoming new team members, developing individualized onboarding plans, support their needs, organize the project gate reviews and monthly review meetings Primary Tasks and responsibilities: . Onboarding of new employees: o Lead, with support from the Regional Program Director, in onboarding of new employees to the engineering organization o Work with new employees' direct supervisors to develop individual training plans tailored to the needs of their role, along with base knowledge/expectations of the engineering organization o Plan and prepare the logistic needs for new team members, including system/security access, supplies/equipment, travel arrangements, and other business support. * Cost control: o Establish and maintain systems to issue and track purchase orders in SAP, guaranteeing correct WBS allocation o Coach and Support Project Liaison to issue and track Shopping Carts (SCs), Purchase Orders (POs) and goods receipts (GRs) in SAP in a timely manner o Coach and Support Project Controls to Actively manage SAP/WBS cost allocation and highlight variations o Provide actuals per WBS to support forecasting by Project Managers o Stewardship of Engineering procurement card (ProCard) for all non-travel related miscellaneous purchases, ensuring appropriate use of Procard vs Purchase Order, leadership approval according to Local Approval Matrix (LAM) o Consolidate quarterly and monthly project cost forecast reported by PM o Update forecasts in Planisware o Oversee updating of SAP/ARIBA files o Monthly Headcount allocation to appropriate WBS accounts for all active projects & waves within the region/site o Report actual costs of the yearly Engineering department budgets * Leadership of the Liaison Team o Manage of daily miscellaneous requirements and admin tasks o Manage and delegate administrative tasks and project priorities o Manage and delegate department administrative work such as organizing the monthly department meetings, annual outing, travel, visitors, teambuilding activities, etc o Maintain and manage a healthy and motivating work environment o Improve and formalize monthly departmental reports/meeting * Leadership of the Document Control Team: o Organize, distribute and archive all project documents, guaranteeing proper archiving rules to support claims to contractors and EPCm partners o Manage the project folder access Matrix, maintain project transmittals, archiving engineering deliverables and permitting docs on project Servers * Department Communication: o Responsible for all aspect of internal and external communication within local Engineering department o Manage visual branding display in department o Work closely with HR/GSS/EHS team * Facilities management: o Responsible for facilities operations within the department o Liaise with facilities contractors, responsible to maintain engineering facilities o Managing repairs, maintenance and replacement in the engineering facilities o Working together with EHS regarding fire safety procedures in the engineering facilities * General duties: o Carry out assigned tasks and duties in a safe manner, in accordance with instructions, and to comply with environmental, health & safety rules/procedures, regulations and codes of practice. o Perform engineering and technical support to the projects when needed, undertaking any additional tasks commensurate with the role as and when required. o rules and procedures set down: Technical Profile requirements: . University degree or College diploma specializing in business administration or a technical field . Experience and/or background in industrial companies, preferably linked to engineering or . operations . Competent and fluent (written and verbal) in Spanish and English . Computer literacy with good working knowledge of the MS Office package . Experience with SAP and Ariba software . Knowledge of EHS standards and industry good practices . Must have the Knowledge, Experience and Skills to conduct their tasks in accordance with the Non-Technical Profile Requirements : . Organized . Team worker . Result oriented and timely delivery . Positive mindset . Capable to work in Matrix organizations . Problem and conflict solver . Flexible and resilient to work in ambiguous situations with limited supervision . Coaching skills . Good communication Location: . North of Spain, exact location remains confidential till at least early July . Until EOY 2024 remote work, afterwards consultants are expected to work onsite Business Travel: . Travel will be required and outside Spain reimbursed via expenses Contract: . Long term contract . Confirmation of the mission will take place before 1/7 . Official confirmation and contract creation scheduled for early July Start: . Objective +- 1st of August . Consultants can perform notice if 4-6 weeks, longer is to discuss with the manager . Consultants cannot take long holidays in July/August after start due to the high workload Languages: . Fluent In Spanish & English Rate: . Market-level Rates for Spain . All-in Rate for Remote and local presence at SPAIN . No expenses accepted Reason for Hire Specific Skills Required for Project Safety Equipment Not applicable (keep in mind that for Olen and Hoboken sites a neon vest is mandatory) Additional Safety Equipment to be provided by Supplier n.a. Travel Required? Yes Travel percentage- 10%
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.
Spectrum IT Recruitment (South) Ltd
Southampton, Hampshire
Located in Southampton we are working with a thriving client with a focus on innovation and efficiency The company are continually investing in cutting-edge technologies to streamline their operations and to fully leverage the potential of the tools being invested in. They are currently seeking a talented IT Applications Analyst to join their team. Position Overview: Reporting directly to the Operations Director the role will play a pivotal role in maximising the utilisation of the Microsoft applications suite, particularly Microsoft Dynamics. This individual will collaborate and support the Ops Director in harnessing the full potential of the Microsoft investments. Key Responsibilities : Microsoft Applications Optimisation: Lead efforts to optimise the use of Microsoft applications across the organisation. Data Cleansing and Accuracy: Ensure data integrity by implementing rigorous data cleansing procedures and maintaining high levels of accuracy in all systems. User Needs Assessment: Work alongside the Operations Director to understand user requirements and identify opportunities for improvement in application usage. Recommendation and Implementation: Recommend actionable insights and strategies to improve operational efficiency's, streamline processes, and enhance data reporting accuracy. Training and Support: Provide training and ongoing support to users to facilitate the adoption of best practices and maximise the benefits of Microsoft applications. Collaboration: Collaborate cross-functionally with various departments to align IT solutions with business objectives and drive continuous improvement. What We Are Looking For In You : Proven experience in using Microsoft applications Experience in data cleansing and ensuring data accuracy. Excellent communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels. Analytic mindset with a keen eye for detail and problem-solving abilities. Ability to work independently as well as part of a team in a fast-paced environment. If you are passionate about leveraging technology to drive business success and thrive in a dynamic environment, we would love to hear from you. Please submit your CV via the "Apply" button or email (see below) for more details. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
15/05/2024
Full time
Located in Southampton we are working with a thriving client with a focus on innovation and efficiency The company are continually investing in cutting-edge technologies to streamline their operations and to fully leverage the potential of the tools being invested in. They are currently seeking a talented IT Applications Analyst to join their team. Position Overview: Reporting directly to the Operations Director the role will play a pivotal role in maximising the utilisation of the Microsoft applications suite, particularly Microsoft Dynamics. This individual will collaborate and support the Ops Director in harnessing the full potential of the Microsoft investments. Key Responsibilities : Microsoft Applications Optimisation: Lead efforts to optimise the use of Microsoft applications across the organisation. Data Cleansing and Accuracy: Ensure data integrity by implementing rigorous data cleansing procedures and maintaining high levels of accuracy in all systems. User Needs Assessment: Work alongside the Operations Director to understand user requirements and identify opportunities for improvement in application usage. Recommendation and Implementation: Recommend actionable insights and strategies to improve operational efficiency's, streamline processes, and enhance data reporting accuracy. Training and Support: Provide training and ongoing support to users to facilitate the adoption of best practices and maximise the benefits of Microsoft applications. Collaboration: Collaborate cross-functionally with various departments to align IT solutions with business objectives and drive continuous improvement. What We Are Looking For In You : Proven experience in using Microsoft applications Experience in data cleansing and ensuring data accuracy. Excellent communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels. Analytic mindset with a keen eye for detail and problem-solving abilities. Ability to work independently as well as part of a team in a fast-paced environment. If you are passionate about leveraging technology to drive business success and thrive in a dynamic environment, we would love to hear from you. Please submit your CV via the "Apply" button or email (see below) for more details. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
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.
*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 Windows Administrator/Engineer. This engineer will focus on windows administration and level 3 operational support in cloud and on prem environments. This engineer will need experience with Windows 2016/2019, PowerShell Scripting, AWS, NAS, SAN, etc. Responsibilities: Provide advanced Windows system administration, operational support, and problem resolution for a mixed Windows Server 2016 and 2019 environments Provide break/fix support for Windows Server OS and third-party application issues Troubleshoot hardware and software problems, take appropriate corrective action and/or interact with team members or vendors to work through issue resolution Automate processes to reduce hands on support Support cloud environments for Windows AMIs Participate in patching and vulnerability remediation, as needed Comply with all audit, compliance, and regulatory requirements Support On call and weekend work Qualifications: Seven or more years of Windows Server installation, operations, administration, and maintenance of physical and virtualized Servers in an enterprise environment In-depth knowledge of Windows Server 2016 and 2019 administration and support Experience with Powershell commands and scripts System administration experience and knowledge of VMware and administration of virtual Servers General working knowledge of NAS, SAN, and networking Active Directory administration experience Hands-on experience with cloud based architecture especially AWS Experience with terraform, or other infrastructure as code applications Experience with build automation a plus Software deployment experience through SCCM or similar tools is a plus
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 Windows Administrator/Engineer. This engineer will focus on windows administration and level 3 operational support in cloud and on prem environments. This engineer will need experience with Windows 2016/2019, PowerShell Scripting, AWS, NAS, SAN, etc. Responsibilities: Provide advanced Windows system administration, operational support, and problem resolution for a mixed Windows Server 2016 and 2019 environments Provide break/fix support for Windows Server OS and third-party application issues Troubleshoot hardware and software problems, take appropriate corrective action and/or interact with team members or vendors to work through issue resolution Automate processes to reduce hands on support Support cloud environments for Windows AMIs Participate in patching and vulnerability remediation, as needed Comply with all audit, compliance, and regulatory requirements Support On call and weekend work Qualifications: Seven or more years of Windows Server installation, operations, administration, and maintenance of physical and virtualized Servers in an enterprise environment In-depth knowledge of Windows Server 2016 and 2019 administration and support Experience with Powershell commands and scripts System administration experience and knowledge of VMware and administration of virtual Servers General working knowledge of NAS, SAN, and networking Active Directory administration experience Hands-on experience with cloud based architecture especially AWS Experience with terraform, or other infrastructure as code applications Experience with build automation a plus Software deployment experience through SCCM or similar tools is a plus
*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 Windows Administrator/Engineer. This engineer will focus on windows administration and level 3 operational support in cloud and on prem environments. This engineer will need experience with Windows 2016/2019, PowerShell Scripting, AWS, NAS, SAN, etc. Responsibilities: Provide advanced Windows system administration, operational support, and problem resolution for a mixed Windows Server 2016 and 2019 environments Provide break/fix support for Windows Server OS and third-party application issues Troubleshoot hardware and software problems, take appropriate corrective action and/or interact with team members or vendors to work through issue resolution Automate processes to reduce hands on support Support cloud environments for Windows AMIs Participate in patching and vulnerability remediation, as needed Comply with all audit, compliance, and regulatory requirements Support On call and weekend work Qualifications: Seven or more years of Windows Server installation, operations, administration, and maintenance of physical and virtualized Servers in an enterprise environment In-depth knowledge of Windows Server 2016 and 2019 administration and support Experience with Powershell commands and scripts System administration experience and knowledge of VMware and administration of virtual Servers General working knowledge of NAS, SAN, and networking Active Directory administration experience Hands-on experience with cloud based architecture especially AWS Experience with terraform, or other infrastructure as code applications Experience with build automation a plus Software deployment experience through SCCM or similar tools is a plus
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 Windows Administrator/Engineer. This engineer will focus on windows administration and level 3 operational support in cloud and on prem environments. This engineer will need experience with Windows 2016/2019, PowerShell Scripting, AWS, NAS, SAN, etc. Responsibilities: Provide advanced Windows system administration, operational support, and problem resolution for a mixed Windows Server 2016 and 2019 environments Provide break/fix support for Windows Server OS and third-party application issues Troubleshoot hardware and software problems, take appropriate corrective action and/or interact with team members or vendors to work through issue resolution Automate processes to reduce hands on support Support cloud environments for Windows AMIs Participate in patching and vulnerability remediation, as needed Comply with all audit, compliance, and regulatory requirements Support On call and weekend work Qualifications: Seven or more years of Windows Server installation, operations, administration, and maintenance of physical and virtualized Servers in an enterprise environment In-depth knowledge of Windows Server 2016 and 2019 administration and support Experience with Powershell commands and scripts System administration experience and knowledge of VMware and administration of virtual Servers General working knowledge of NAS, SAN, and networking Active Directory administration experience Hands-on experience with cloud based architecture especially AWS Experience with terraform, or other infrastructure as code applications Experience with build automation a plus Software deployment experience through SCCM or similar tools is a plus
*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.
Windows Server Administrator Salary: open + bonus Location: Hybrid role in either location Chicago, IL/Dallas, TX Qualifications 7+ years of Windows Server installation, operations, administration, and maintenance of physical and virtualized Servers in an enterprise environment In-depth knowledge of Windows Server 2012 R2 and 2016 administration and support Experience with PowerShell commands and scripts. System administration experience and knowledge of VMware and administration of virtual Servers General working knowledge of NAS, SAN, and networking Active Directory administration experience Software deployment experience through SCCM or similar tools is a plus. Vulnerability remediation experience is a plus. Responsibilities Provide advanced Windows system administration, operational support, and problem resolution for a mixed Windows Server 2012 R2 and 2016 environment. Provide break/fix support for Windows Server OS and third-party application issues. Troubleshoot hardware and software problems, take appropriate corrective action and/or interact with team members or vendors to work through issue resolution. Participate in patching and vulnerability remediation, as needed. Adhere to company Change Management process. Comply with all audits, compliance, and regulatory requirements. Perform other duties as assigned. Support On call and weekend work
14/05/2024
Full time
Windows Server Administrator Salary: open + bonus Location: Hybrid role in either location Chicago, IL/Dallas, TX Qualifications 7+ years of Windows Server installation, operations, administration, and maintenance of physical and virtualized Servers in an enterprise environment In-depth knowledge of Windows Server 2012 R2 and 2016 administration and support Experience with PowerShell commands and scripts. System administration experience and knowledge of VMware and administration of virtual Servers General working knowledge of NAS, SAN, and networking Active Directory administration experience Software deployment experience through SCCM or similar tools is a plus. Vulnerability remediation experience is a plus. Responsibilities Provide advanced Windows system administration, operational support, and problem resolution for a mixed Windows Server 2012 R2 and 2016 environment. Provide break/fix support for Windows Server OS and third-party application issues. Troubleshoot hardware and software problems, take appropriate corrective action and/or interact with team members or vendors to work through issue resolution. Participate in patching and vulnerability remediation, as needed. Adhere to company Change Management process. Comply with all audits, compliance, and regulatory requirements. Perform other duties as assigned. Support On call and weekend work
Global Technology Solutions Ltd
Reading, Berkshire
Job Title: SC Cleared On Prem AD/Azure support specialist Location: Aldermaston, Reading. Potential hybrid agreements Salary: £56,525p/a Working hours: standard office hours British national only, this is due to the nature of the work and the clearances required. We are looking for customer-focused and enthusiastic Azure and Active Directory Specialist to join the company. You should have a genuine interest in solving IT issues and empathetic to customer needs and requirements. Day to day tasks include expert management and troubleshooting of Azure, Dev environments and Active Directory services and issues within a complex locked down System structure. You should possess good written and verbal communication skills, be willing to collaborate with the wider IT support teams and help us develop a strong partnership with our customers' IT Leadership. The successful candidate will be responsible in supporting a strategic change to the service model and implementing design documents and processes along with new statements of work. This will require working closely with the Operations Manager and Account Project Lead to define and implement a more agile and collaborative structure which is capable of blending BAU support with short term projects and ad-hoc requests, where scoped and agreed. This will be achieved by following Agile and ITIL Continuous Service Improvement methodologies. ESSENTIALS SKILLS/QUALIFICATIONS: * 5 years plus Azure Active Directory experience (Essential) * Working Knowledge and implementation experience of Azure Dev Ops and Dev Test Labs * Azure Virtual Desktop knowledge and implementation experience (Nerdio) * Azure Cloud Infrastructure Knowledge * Infrastructure as a Code (knowledge and implementation experience) (IaC) * CI/CD pipelines knowledge and understanding * ARM templates/Bicep (knowledge and implementation experience) * Microsoft Tiered Model Knowledge and how this impacts different tiered environments * Azure Role & Functional based Security Delegation and Layers and Role Based Access Control * Azure Networking Experience * Azure Firewalls Experience * Azure Security including Conditional Access Policies and Multi Factor Authentication and Privileged Identity Management * Azure Virtual Machine Management * Azure Storage Experience * Azure Monitoring and log analytics * Azure Enterprise and ADFS Application Provisioning * Active Directory Connect/sync and Active Directory Federation Services * Azure PowerShell Scripting * Microsoft Windows Server 2016, 2019 and 2022 experience * Comfortable working with a Hybrid Joined Active Directory environment * Group Policy Management and Conditional Access Policy Management Experience * DNS, DHCP Experience * Working knowledge and understand of PKI Services * Scripting experience using BAT, PowerShell, C# and VB Scripts * Awareness of Change and Release Management * Strong communication skills both written and verbal * Self-motivated with a positive attitude and comfortable working with ambiguity * Create Operational guides and High-Level/Low-Level Designs * Good knowledge of MS Endpoint Management * Good knowledge of Office 365 and Exchange Online DESIRABLE SKILLS/QUALIFICATIONS: * Infrastructure Support experience/background inc patching, backups and restores, Windows/Linux * AD Sync and AD Connect Experience beneficial * Azure Containers * Azure Kubernetes * Azure Endpoint Management/Intune * Good knowledge across SCCM; WSUS; SCOM 2019; AGPM; Lumensions. * ITIL Foundation certified with a broad experience across Service Management disciplines and Agile delivery Benefits: * Development through Training/Certification * Put through DV clearance (including tax allowance) * potential hybrid working (home and onsite) * Joining a strong team with a wealth of knowledge and experience If you have the skill required, apply now! "In applying for this position, you consent to your personal data being shared with the specified employer and for your details to remain with GTS for as long as is necessary to process your application. See our Privacy Notice for full information Global Technology Solutions is acting as an Employment Agency in relation to this vacancy.
14/05/2024
Full time
Job Title: SC Cleared On Prem AD/Azure support specialist Location: Aldermaston, Reading. Potential hybrid agreements Salary: £56,525p/a Working hours: standard office hours British national only, this is due to the nature of the work and the clearances required. We are looking for customer-focused and enthusiastic Azure and Active Directory Specialist to join the company. You should have a genuine interest in solving IT issues and empathetic to customer needs and requirements. Day to day tasks include expert management and troubleshooting of Azure, Dev environments and Active Directory services and issues within a complex locked down System structure. You should possess good written and verbal communication skills, be willing to collaborate with the wider IT support teams and help us develop a strong partnership with our customers' IT Leadership. The successful candidate will be responsible in supporting a strategic change to the service model and implementing design documents and processes along with new statements of work. This will require working closely with the Operations Manager and Account Project Lead to define and implement a more agile and collaborative structure which is capable of blending BAU support with short term projects and ad-hoc requests, where scoped and agreed. This will be achieved by following Agile and ITIL Continuous Service Improvement methodologies. ESSENTIALS SKILLS/QUALIFICATIONS: * 5 years plus Azure Active Directory experience (Essential) * Working Knowledge and implementation experience of Azure Dev Ops and Dev Test Labs * Azure Virtual Desktop knowledge and implementation experience (Nerdio) * Azure Cloud Infrastructure Knowledge * Infrastructure as a Code (knowledge and implementation experience) (IaC) * CI/CD pipelines knowledge and understanding * ARM templates/Bicep (knowledge and implementation experience) * Microsoft Tiered Model Knowledge and how this impacts different tiered environments * Azure Role & Functional based Security Delegation and Layers and Role Based Access Control * Azure Networking Experience * Azure Firewalls Experience * Azure Security including Conditional Access Policies and Multi Factor Authentication and Privileged Identity Management * Azure Virtual Machine Management * Azure Storage Experience * Azure Monitoring and log analytics * Azure Enterprise and ADFS Application Provisioning * Active Directory Connect/sync and Active Directory Federation Services * Azure PowerShell Scripting * Microsoft Windows Server 2016, 2019 and 2022 experience * Comfortable working with a Hybrid Joined Active Directory environment * Group Policy Management and Conditional Access Policy Management Experience * DNS, DHCP Experience * Working knowledge and understand of PKI Services * Scripting experience using BAT, PowerShell, C# and VB Scripts * Awareness of Change and Release Management * Strong communication skills both written and verbal * Self-motivated with a positive attitude and comfortable working with ambiguity * Create Operational guides and High-Level/Low-Level Designs * Good knowledge of MS Endpoint Management * Good knowledge of Office 365 and Exchange Online DESIRABLE SKILLS/QUALIFICATIONS: * Infrastructure Support experience/background inc patching, backups and restores, Windows/Linux * AD Sync and AD Connect Experience beneficial * Azure Containers * Azure Kubernetes * Azure Endpoint Management/Intune * Good knowledge across SCCM; WSUS; SCOM 2019; AGPM; Lumensions. * ITIL Foundation certified with a broad experience across Service Management disciplines and Agile delivery Benefits: * Development through Training/Certification * Put through DV clearance (including tax allowance) * potential hybrid working (home and onsite) * Joining a strong team with a wealth of knowledge and experience If you have the skill required, apply now! "In applying for this position, you consent to your personal data being shared with the specified employer and for your details to remain with GTS for as long as is necessary to process your application. See our Privacy Notice for full information Global Technology Solutions is acting as an Employment Agency in relation to this vacancy.
Sanderson Government & Defence
Stevenage, Hertfordshire
Unix/Linux Engineer - SC/DV Eligible Location: Stevenage, Bristol or Bolton Type : Predominantly on-site Salary : £50,000 - £58,000 Clearance : SC/DV Eligible, active clearance preferred A primary technical partner of the MOD are looking to add to their infrastructure innovation team. This role will be working with an existing team, collaborating with teams on supporting supporting the mission of keeping UK Defence agile and safe. The role: Monitor and provide technical support for client's infrastructure, including incident and request management. Administer Servers to ensure optimal performance and reliability. Plan and execute changes in accordance with client agreements and the ITIL change management process. Assess user requirements and develop technical specifications that are both cost-effective and align accurately with the clients' identified needs. Install and thoroughly test operating software and associated products in collaboration with application providers. Your transferable skills and experience: Operating Systems: Windows 2019, 2016, 2012, and 2008 Virtualization Platforms: VMware ESXi and MS Hyper-V Active Directory and Identity Manager expertise SCOM (System Center Operations Manager) and SCCM (System Center Configuration Manager) knowledge Familiarity with McAfee antivirus software Experience in Software License Management Understanding of specific infrastructure support services Knowledge of algorithms and methodologies for system and network development, building, and configuration. If you're interested in the above and would like to learn more, apply or reach out to (see below)
13/05/2024
Full time
Unix/Linux Engineer - SC/DV Eligible Location: Stevenage, Bristol or Bolton Type : Predominantly on-site Salary : £50,000 - £58,000 Clearance : SC/DV Eligible, active clearance preferred A primary technical partner of the MOD are looking to add to their infrastructure innovation team. This role will be working with an existing team, collaborating with teams on supporting supporting the mission of keeping UK Defence agile and safe. The role: Monitor and provide technical support for client's infrastructure, including incident and request management. Administer Servers to ensure optimal performance and reliability. Plan and execute changes in accordance with client agreements and the ITIL change management process. Assess user requirements and develop technical specifications that are both cost-effective and align accurately with the clients' identified needs. Install and thoroughly test operating software and associated products in collaboration with application providers. Your transferable skills and experience: Operating Systems: Windows 2019, 2016, 2012, and 2008 Virtualization Platforms: VMware ESXi and MS Hyper-V Active Directory and Identity Manager expertise SCOM (System Center Operations Manager) and SCCM (System Center Configuration Manager) knowledge Familiarity with McAfee antivirus software Experience in Software License Management Understanding of specific infrastructure support services Knowledge of algorithms and methodologies for system and network development, building, and configuration. If you're interested in the above and would like to learn more, apply or reach out to (see below)
About Us: Car Wreck Chiropractic is a thriving personal injury chiropractic clinic dedicated to providing high-quality healthcare services to patients who have suffered injuries due to accidents. We are committed to delivering effective chiropractic care, pain management, and rehabilitation services to help our patients recover and lead healthier lives. We are seeking a dynamic and experienced Clinic Director to lead our team and ensure the smooth and efficient operation of our clinic. Job Summary: As the Clinic Director at Car Wreck Chiropractic, you will play a pivotal role in overseeing the daily operations, managing staff, and maintaining a patient-centered environment. Your responsibilities will include strategic planning, staff management, financial oversight, and ensuring compliance with all relevant regulations. Key Responsibilities: Leadership and Management: Provide strong leadership and guidance to the clinic team, including chiropractors, medical assistants, administrative staff, and support personnel. Foster a positive and collaborative work environment, promoting teamwork and professional development. Develop and implement staff training and performance improvement programs. Patient Care and Satisfaction: Ensure that all patients receive the highest standard of care and customer service. Monitor patient feedback and address concerns or issues promptly to enhance patient satisfaction. Financial Management: Implement strategies to maximize clinic profitability and efficiency. Regulatory Compliance: Ensure that the clinic complies with all relevant laws, regulations, and licensing requirements. Stay updated on industry standards and best practices to maintain a safe and ethical environment. Strategic Planning: Develop and execute clinic growth strategies, including community outreach. Identify opportunities for expansion and improvement. Quality Assurance: Implement and monitor quality assurance and improvement processes to enhance patient outcomes. Foster a culture of continuous improvement in patient care and services. Qualifications: Doctor of Chiropractic (DC) degree and relevant state licensure. Proven experience in a managerial or leadership role within a chiropractic or medical setting. Strong knowledge of personal injury chiropractic care and relevant treatment methods. Excellent interpersonal, communication, and problem-solving skills. Proficiency in managing financial aspects of a clinic. A commitment to providing compassionate, patient-centered care. Knowledge of relevant healthcare regulations and compliance standards. Ability to lead and motivate a diverse team of healthcare professionals. Strong organizational and time management skills. Benefits: Competitive salary and performance-based bonuses. Paid malpractice insurance. Health and dental insurance. Continuing education opportunities. Paid time off and holidays. Supportive and collaborative work environment. If you are a dedicated chiropractic professional with strong leadership and management skills, and you are passionate about helping patients recover from personal injuries, we encourage you to apply for the Clinic Director position at Car Wreck Chiropractic. Join our team and make a difference in the lives of those we serve.
11/05/2024
Full time
About Us: Car Wreck Chiropractic is a thriving personal injury chiropractic clinic dedicated to providing high-quality healthcare services to patients who have suffered injuries due to accidents. We are committed to delivering effective chiropractic care, pain management, and rehabilitation services to help our patients recover and lead healthier lives. We are seeking a dynamic and experienced Clinic Director to lead our team and ensure the smooth and efficient operation of our clinic. Job Summary: As the Clinic Director at Car Wreck Chiropractic, you will play a pivotal role in overseeing the daily operations, managing staff, and maintaining a patient-centered environment. Your responsibilities will include strategic planning, staff management, financial oversight, and ensuring compliance with all relevant regulations. Key Responsibilities: Leadership and Management: Provide strong leadership and guidance to the clinic team, including chiropractors, medical assistants, administrative staff, and support personnel. Foster a positive and collaborative work environment, promoting teamwork and professional development. Develop and implement staff training and performance improvement programs. Patient Care and Satisfaction: Ensure that all patients receive the highest standard of care and customer service. Monitor patient feedback and address concerns or issues promptly to enhance patient satisfaction. Financial Management: Implement strategies to maximize clinic profitability and efficiency. Regulatory Compliance: Ensure that the clinic complies with all relevant laws, regulations, and licensing requirements. Stay updated on industry standards and best practices to maintain a safe and ethical environment. Strategic Planning: Develop and execute clinic growth strategies, including community outreach. Identify opportunities for expansion and improvement. Quality Assurance: Implement and monitor quality assurance and improvement processes to enhance patient outcomes. Foster a culture of continuous improvement in patient care and services. Qualifications: Doctor of Chiropractic (DC) degree and relevant state licensure. Proven experience in a managerial or leadership role within a chiropractic or medical setting. Strong knowledge of personal injury chiropractic care and relevant treatment methods. Excellent interpersonal, communication, and problem-solving skills. Proficiency in managing financial aspects of a clinic. A commitment to providing compassionate, patient-centered care. Knowledge of relevant healthcare regulations and compliance standards. Ability to lead and motivate a diverse team of healthcare professionals. Strong organizational and time management skills. Benefits: Competitive salary and performance-based bonuses. Paid malpractice insurance. Health and dental insurance. Continuing education opportunities. Paid time off and holidays. Supportive and collaborative work environment. If you are a dedicated chiropractic professional with strong leadership and management skills, and you are passionate about helping patients recover from personal injuries, we encourage you to apply for the Clinic Director position at Car Wreck Chiropractic. Join our team and make a difference in the lives of those we serve.
*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.
We are currently looking on behalf of one of our important clients for a Modern Workplace Engineer (German Speaking). The role is permanent position based in Aargau Canton. Your role: Partake in a transformation project for the redevelopment of an ICT landscape & hold joint responsible for ensuring a professional ICT environment for internal customers. Develop modern & cloud workplace in cooperation with other departments, taking into account future trends & technologies. Automate & standardize operations. Create the necessary documentation & carry out project approvals. Locate, isolate & Remedy complex faults & provide 1st & 2nd level support. Collaborate with various stakeholders from business & corporate ICT. Your Skills: At least 3 years of professional experience in the fields of Modern Workplace & Client Engineering. Strong experience & expertise in Microsoft 365 & Azure Active Directory. Skilled & experienced in Application Packaging, Software Distribution & Mobile Device Management (MDM). Your Profile: Completed IT Education/University Degree in the areas of Systems Engineering/Platform Development (or similar). Strong communication skills, driven, committed, analytical, reliable, precise, highly responsible & team, customer & service-oriented. Fluent in German & English to at least C1 level (spoken & written) are mandatory requirements (please do not apply otherwise), Swiss-German language skills are considered a plus.
10/05/2024
Full time
We are currently looking on behalf of one of our important clients for a Modern Workplace Engineer (German Speaking). The role is permanent position based in Aargau Canton. Your role: Partake in a transformation project for the redevelopment of an ICT landscape & hold joint responsible for ensuring a professional ICT environment for internal customers. Develop modern & cloud workplace in cooperation with other departments, taking into account future trends & technologies. Automate & standardize operations. Create the necessary documentation & carry out project approvals. Locate, isolate & Remedy complex faults & provide 1st & 2nd level support. Collaborate with various stakeholders from business & corporate ICT. Your Skills: At least 3 years of professional experience in the fields of Modern Workplace & Client Engineering. Strong experience & expertise in Microsoft 365 & Azure Active Directory. Skilled & experienced in Application Packaging, Software Distribution & Mobile Device Management (MDM). Your Profile: Completed IT Education/University Degree in the areas of Systems Engineering/Platform Development (or similar). Strong communication skills, driven, committed, analytical, reliable, precise, highly responsible & team, customer & service-oriented. Fluent in German & English to at least C1 level (spoken & written) are mandatory requirements (please do not apply otherwise), Swiss-German language skills are considered a plus.