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.
17/05/2024
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.
17/05/2024
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.
*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.
17/05/2024
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.
17/05/2024
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.
17/05/2024
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.
17/05/2024
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.
Our client is looking for a skilled and enthusiastic network engineer to join their team based around Glasgow. The ideal candidate will have a strong grasp of the requirements below. If you feel that you are capable, I would love to hear from you and discuss the position in full. Duties and Responsibilities Design, implement, configure and manage the organisation's network infrastructure, including LANs, WANs, VPNs, Routers, Switches, Firewalls, and wireless access points. Identify and address issues to ensure high availability, reliability, and optimal performance. Deploy and maintain the systems' infrastructure, including Servers, storage solutions, operating systems, virtualisation platforms and cloud services. Manage network and systems capacity planning to accommodate growth and changing computing requirements. Collaborate with IT teams worldwide to develop integrated network and systems solutions aligned with business objectives and technology standards. Perform regular security assessments and audits to identify vulnerabilities and implement necessary patches, updates, and security protocols. Design, implement and maintain disaster recovery and business continuity plans. Provide technical support to end-users and other IT teams, addressing network and systems-related incidents and challenges. Document network and systems configurations, procedures, and troubleshooting guides to facilitate knowledge sharing and training. Stay informed about emerging technologies, industry trends, and best practices in networking and systems engineering. Automate network and systems tasks using Scripting languages and configuration management tools. Work with vendors and service providers for procurement, maintenance, and support of network and systems equipment and software. Install hardware for systems and users, as required. Packaging and deployment of applications and software updates. Identify, propose, contribute and manage IT projects for continuous improvement. Qualifications, Knowledge & Skills Bachelor's degree in Computer Science, Information Technology, or related field; or relevant work experience for a minimum of five years. Proven experience as a Network Engineer/Administrator, Systems Engineer/Administrator, or similar role, demonstrating proficiency in both networking and systems administration. Strong understanding of network protocols, routing, switching, and network security practices. Familiarity with various operating systems, including Windows and VMWare ESXi and experience in system administration. Proficiency in configuring and managing virtualisation platforms such as VMware. Scripting skills (eg, PowerShell) for network and systems automation and optimisation. Knowledge of hardware components, server architecture, and storage systems (SANs). Familiarity with security tools, encryption, certificates, PKI, authentication, and patch management for both networks and systems. Excellent communication skills to collaborate effectively with technical and non-technical teams. Strong problem-solving abilities for diagnosing and resolving complex network and systems issues. Ability to manage multiple tasks, projects, and priorities while adhering to deadlines. Main benefits: Salary Life Assurance x 4 times annual salary Critical Illness x 2 times annual salary Westfield Health Cover - CashPlan and Hospital Plan Personal Private Pension (currently Scottish Widows). Salary Exchange. 5% company contribution 34 day holiday (includes public holidays) Contribution to fitness club or classes Please send a copy of your CV for more information and to discuss your suitability. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
17/05/2024
Full time
Our client is looking for a skilled and enthusiastic network engineer to join their team based around Glasgow. The ideal candidate will have a strong grasp of the requirements below. If you feel that you are capable, I would love to hear from you and discuss the position in full. Duties and Responsibilities Design, implement, configure and manage the organisation's network infrastructure, including LANs, WANs, VPNs, Routers, Switches, Firewalls, and wireless access points. Identify and address issues to ensure high availability, reliability, and optimal performance. Deploy and maintain the systems' infrastructure, including Servers, storage solutions, operating systems, virtualisation platforms and cloud services. Manage network and systems capacity planning to accommodate growth and changing computing requirements. Collaborate with IT teams worldwide to develop integrated network and systems solutions aligned with business objectives and technology standards. Perform regular security assessments and audits to identify vulnerabilities and implement necessary patches, updates, and security protocols. Design, implement and maintain disaster recovery and business continuity plans. Provide technical support to end-users and other IT teams, addressing network and systems-related incidents and challenges. Document network and systems configurations, procedures, and troubleshooting guides to facilitate knowledge sharing and training. Stay informed about emerging technologies, industry trends, and best practices in networking and systems engineering. Automate network and systems tasks using Scripting languages and configuration management tools. Work with vendors and service providers for procurement, maintenance, and support of network and systems equipment and software. Install hardware for systems and users, as required. Packaging and deployment of applications and software updates. Identify, propose, contribute and manage IT projects for continuous improvement. Qualifications, Knowledge & Skills Bachelor's degree in Computer Science, Information Technology, or related field; or relevant work experience for a minimum of five years. Proven experience as a Network Engineer/Administrator, Systems Engineer/Administrator, or similar role, demonstrating proficiency in both networking and systems administration. Strong understanding of network protocols, routing, switching, and network security practices. Familiarity with various operating systems, including Windows and VMWare ESXi and experience in system administration. Proficiency in configuring and managing virtualisation platforms such as VMware. Scripting skills (eg, PowerShell) for network and systems automation and optimisation. Knowledge of hardware components, server architecture, and storage systems (SANs). Familiarity with security tools, encryption, certificates, PKI, authentication, and patch management for both networks and systems. Excellent communication skills to collaborate effectively with technical and non-technical teams. Strong problem-solving abilities for diagnosing and resolving complex network and systems issues. Ability to manage multiple tasks, projects, and priorities while adhering to deadlines. Main benefits: Salary Life Assurance x 4 times annual salary Critical Illness x 2 times annual salary Westfield Health Cover - CashPlan and Hospital Plan Personal Private Pension (currently Scottish Widows). Salary Exchange. 5% company contribution 34 day holiday (includes public holidays) Contribution to fitness club or classes Please send a copy of your CV for more information and to discuss your suitability. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Job Description: We are seeking a highly skilled and experienced Cloud Specialist with expertise in Azure and AWS cloud architecture to join our dynamic team. As a Cloud Specialist, your primary responsibility will be to design, implement, and maintain reliable cloud-based solutions on Azure and AWS platforms to meet our clients' diverse needs. You will be an integral part of our project teams, working closely with our clients and cross-functional teams to drive successful cloud adoption strategies. Roles and Responsibilities: Design and implement complex and scalable cloud-based solutions on Azure and AWS platforms to meet client requirements, ensuring high availability, performance, scalability, and security. Assess clients' existing infrastructure, applications, and business requirements to architect cloud solutions that align with their strategic goals and technical objectives. Collaborate with clients, project managers, and other technical teams to define cloud migration strategies, develop project plans, and ensure project deliverables are met within budget and timeline. Conduct technical assessments and provide recommendations to optimize clients' cloud environments, ensuring they are cost-effective, secure, and aligned with industry best practices. Lead and participate in cloud design and architecture discussions, providing technical guidance and expertise to project teams and clients. Develop and maintain cloud architecture documentation, including diagrams, reference architectures, and technical specifications. Stay up-to-date with the latest trends and advancements in cloud technologies, monitoring industry changes and making recommendations for continuous improvement of our cloud solutions and services. Skills and Qualifications: Bachelor's degree in computer science, information systems, or a related field. (Master's degree preferred) 5+ years of experience as a cloud architect or similar role, designing and implementing cloud solutions on Azure and AWS platforms. In-depth knowledge and hands-on experience with Azure and AWS cloud services, including compute, networking, storage, databases, and security. Proven expertise in designing and implementing highly available, scalable, and secure cloud architectures using cloud-native and hybrid cloud technologies. Hands-on experience with infrastructure-as-code tools (eg, Terraform, CloudFormation), DevOps practices, and CI/CD pipelines. Strong understanding of cloud security best practices, including identity and access management, encryption, monitoring, and compliance. Excellent written and verbal communication skills, with the ability to translate technical concepts into clear and concise documentation and presentations. Strong problem-solving and troubleshooting skills, with the ability to quickly identify and resolve issues in cloud environments. Certifications in Azure and AWS (eg, Azure Solutions Architect Expert, AWS Certified Solutions Architect - Professional) are highly desirable
17/05/2024
Full time
Job Description: We are seeking a highly skilled and experienced Cloud Specialist with expertise in Azure and AWS cloud architecture to join our dynamic team. As a Cloud Specialist, your primary responsibility will be to design, implement, and maintain reliable cloud-based solutions on Azure and AWS platforms to meet our clients' diverse needs. You will be an integral part of our project teams, working closely with our clients and cross-functional teams to drive successful cloud adoption strategies. Roles and Responsibilities: Design and implement complex and scalable cloud-based solutions on Azure and AWS platforms to meet client requirements, ensuring high availability, performance, scalability, and security. Assess clients' existing infrastructure, applications, and business requirements to architect cloud solutions that align with their strategic goals and technical objectives. Collaborate with clients, project managers, and other technical teams to define cloud migration strategies, develop project plans, and ensure project deliverables are met within budget and timeline. Conduct technical assessments and provide recommendations to optimize clients' cloud environments, ensuring they are cost-effective, secure, and aligned with industry best practices. Lead and participate in cloud design and architecture discussions, providing technical guidance and expertise to project teams and clients. Develop and maintain cloud architecture documentation, including diagrams, reference architectures, and technical specifications. Stay up-to-date with the latest trends and advancements in cloud technologies, monitoring industry changes and making recommendations for continuous improvement of our cloud solutions and services. Skills and Qualifications: Bachelor's degree in computer science, information systems, or a related field. (Master's degree preferred) 5+ years of experience as a cloud architect or similar role, designing and implementing cloud solutions on Azure and AWS platforms. In-depth knowledge and hands-on experience with Azure and AWS cloud services, including compute, networking, storage, databases, and security. Proven expertise in designing and implementing highly available, scalable, and secure cloud architectures using cloud-native and hybrid cloud technologies. Hands-on experience with infrastructure-as-code tools (eg, Terraform, CloudFormation), DevOps practices, and CI/CD pipelines. Strong understanding of cloud security best practices, including identity and access management, encryption, monitoring, and compliance. Excellent written and verbal communication skills, with the ability to translate technical concepts into clear and concise documentation and presentations. Strong problem-solving and troubleshooting skills, with the ability to quickly identify and resolve issues in cloud environments. Certifications in Azure and AWS (eg, Azure Solutions Architect Expert, AWS Certified Solutions Architect - Professional) are highly desirable
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a GRC Security Risk Specialist. Candidate will work on the Governance, Risk Compliance team, leads and executes the programs within the GRC team, is a subject matter expert for Information Security (consulting to technical/non-technical management and the user community), and performs key risk management functions within the Security Governance department. Primary functions include life cycle management of client responses, Policy & Standards life cycle management, Security Vendor Risk program management, Security Awareness, Controls Assurance, and GRC platform and program management. Responsibilities: Respond to security assessments, questionnaires and audits from clients and third-party business partners in a timely manner. Document and perform assessments as needed. Technical writing for policies, standards and communications. Lead in the creation and maintenance of security policies, standards, processes guidelines and support documentation. Lead, evaluate, and supports the processes necessary to assure that Information Technology (IT) systems meet the organization's cyber security and risk requirements. Ensures appropriate treatment of risk, compliance, and assurance from internal and external perspectives. Serve as a subject matter expert for Information Security consulting to technical/non-technical management and staff. Manage and support the 3rd Party Security Vendor Risk Management program and lifec-ycle. Manage the exception request process and consult as needed. Lead the Security Awareness program. This includes road-map development, measurement, and evaluation of cyber training/education courses and methods based on instructional needs. Management and support of the GRC technology platforms. Conduct evaluations of an IT program or its individual components to determine compliance with published standards. Qualifications: Bachelor's degree or five (5) years of work experience in IT Security is required. Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred. Strong knowledge on Security frameworks and technologies such as ISO 27001, NIST, SOC, SIG is required Prior IT Security experience in the legal industry experience is preferred. Technical writing experience is required. Experience with instructional content, educational writing, and technical writing strongly preferred. Four (4) years of Information Security experience required. Those containing hands on technical experience are preferred. Three or more years of experience managing timelines and being self-directed preferred. Governance, Risk, and Compliance (GRC) tool management (Administrative and/or Engineering) is preferred. Client focus, including tact and diplomacy is required. Interview, gather, and understand content from subject-matter experts Maintain accurate records and manage client security and risk requests Ability to perform as primary Security Subject Matter Expert (SME). Ability to facilitate and lead project and vendor risk assessments with relative independence and provide guidance on secure design and operation. Ability to independently complete and assist in completing client security questionnaires and security assessments concerning the Firm s security program and controls. Demonstrate the ability to create and maintain security policy, standard, guideline and procedure documents. Demonstrate the ability to communicate effectively technical topics at an appropriate level of detail to varied audiences - including IT Subject Matter Experts, senior management and non-technical users. Communicates succinctly and effectively Strong organization and problem-solving skills required Strong project and time management skills required Strong reading comprehension skills required Strong analytical ability with excellent written and verbal communication skills required Strong PC skills with Microsoft (ie Word, Excel, PowerPoint) required Ability to work independently and as a group member is required SharePoint administration is preferred for team Intranet site management Broad awareness of and exposure to diverse security tools and their capabilities, including commercial and open-source options. Strong knowledge of risk management principles and practices. Strong knowledge of security administration and role-based security controls. Strong knowledge and use of GRC platforms. Knowledge of host and network-based anti-malware technologies. Knowledge of authentication technologies and interactions between diverse authentication platforms, both on-site and remote. Knowledge of client and server Firewalling technologies and capabilities. Knowledge of security event management (SIEM), event correlation and analysis technologies. Knowledge of data encryption technologies. Strong knowledge of Intrusion Detection and Intrusion Prevention technical capabilities. Knowledge of web filtering and email SPAM prevention techniques. Knowledge of vulnerability assessment and forensic investigations tools. Knowledge of mobile device security and Mobile Device Management solutions. Knowledge of Privileged Access Management technologies. Preferred Skills: Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred.
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a GRC Security Risk Specialist. Candidate will work on the Governance, Risk Compliance team, leads and executes the programs within the GRC team, is a subject matter expert for Information Security (consulting to technical/non-technical management and the user community), and performs key risk management functions within the Security Governance department. Primary functions include life cycle management of client responses, Policy & Standards life cycle management, Security Vendor Risk program management, Security Awareness, Controls Assurance, and GRC platform and program management. Responsibilities: Respond to security assessments, questionnaires and audits from clients and third-party business partners in a timely manner. Document and perform assessments as needed. Technical writing for policies, standards and communications. Lead in the creation and maintenance of security policies, standards, processes guidelines and support documentation. Lead, evaluate, and supports the processes necessary to assure that Information Technology (IT) systems meet the organization's cyber security and risk requirements. Ensures appropriate treatment of risk, compliance, and assurance from internal and external perspectives. Serve as a subject matter expert for Information Security consulting to technical/non-technical management and staff. Manage and support the 3rd Party Security Vendor Risk Management program and lifec-ycle. Manage the exception request process and consult as needed. Lead the Security Awareness program. This includes road-map development, measurement, and evaluation of cyber training/education courses and methods based on instructional needs. Management and support of the GRC technology platforms. Conduct evaluations of an IT program or its individual components to determine compliance with published standards. Qualifications: Bachelor's degree or five (5) years of work experience in IT Security is required. Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred. Strong knowledge on Security frameworks and technologies such as ISO 27001, NIST, SOC, SIG is required Prior IT Security experience in the legal industry experience is preferred. Technical writing experience is required. Experience with instructional content, educational writing, and technical writing strongly preferred. Four (4) years of Information Security experience required. Those containing hands on technical experience are preferred. Three or more years of experience managing timelines and being self-directed preferred. Governance, Risk, and Compliance (GRC) tool management (Administrative and/or Engineering) is preferred. Client focus, including tact and diplomacy is required. Interview, gather, and understand content from subject-matter experts Maintain accurate records and manage client security and risk requests Ability to perform as primary Security Subject Matter Expert (SME). Ability to facilitate and lead project and vendor risk assessments with relative independence and provide guidance on secure design and operation. Ability to independently complete and assist in completing client security questionnaires and security assessments concerning the Firm s security program and controls. Demonstrate the ability to create and maintain security policy, standard, guideline and procedure documents. Demonstrate the ability to communicate effectively technical topics at an appropriate level of detail to varied audiences - including IT Subject Matter Experts, senior management and non-technical users. Communicates succinctly and effectively Strong organization and problem-solving skills required Strong project and time management skills required Strong reading comprehension skills required Strong analytical ability with excellent written and verbal communication skills required Strong PC skills with Microsoft (ie Word, Excel, PowerPoint) required Ability to work independently and as a group member is required SharePoint administration is preferred for team Intranet site management Broad awareness of and exposure to diverse security tools and their capabilities, including commercial and open-source options. Strong knowledge of risk management principles and practices. Strong knowledge of security administration and role-based security controls. Strong knowledge and use of GRC platforms. Knowledge of host and network-based anti-malware technologies. Knowledge of authentication technologies and interactions between diverse authentication platforms, both on-site and remote. Knowledge of client and server Firewalling technologies and capabilities. Knowledge of security event management (SIEM), event correlation and analysis technologies. Knowledge of data encryption technologies. Strong knowledge of Intrusion Detection and Intrusion Prevention technical capabilities. Knowledge of web filtering and email SPAM prevention techniques. Knowledge of vulnerability assessment and forensic investigations tools. Knowledge of mobile device security and Mobile Device Management solutions. Knowledge of Privileged Access Management technologies. Preferred Skills: Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a GRC Security Risk Specialist. Candidate will work on the Governance, Risk Compliance team, leads and executes the programs within the GRC team, is a subject matter expert for Information Security (consulting to technical/non-technical management and the user community), and performs key risk management functions within the Security Governance department. Primary functions include life cycle management of client responses, Policy & Standards life cycle management, Security Vendor Risk program management, Security Awareness, Controls Assurance, and GRC platform and program management. Responsibilities: Respond to security assessments, questionnaires and audits from clients and third-party business partners in a timely manner. Document and perform assessments as needed. Technical writing for policies, standards and communications. Lead in the creation and maintenance of security policies, standards, processes guidelines and support documentation. Lead, evaluate, and supports the processes necessary to assure that Information Technology (IT) systems meet the organization's cyber security and risk requirements. Ensures appropriate treatment of risk, compliance, and assurance from internal and external perspectives. Serve as a subject matter expert for Information Security consulting to technical/non-technical management and staff. Manage and support the 3rd Party Security Vendor Risk Management program and lifec-ycle. Manage the exception request process and consult as needed. Lead the Security Awareness program. This includes road-map development, measurement, and evaluation of cyber training/education courses and methods based on instructional needs. Management and support of the GRC technology platforms. Conduct evaluations of an IT program or its individual components to determine compliance with published standards. Qualifications: Bachelor's degree or five (5) years of work experience in IT Security is required. Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred. Strong knowledge on Security frameworks and technologies such as ISO 27001, NIST, SOC, SIG is required Prior IT Security experience in the legal industry experience is preferred. Technical writing experience is required. Experience with instructional content, educational writing, and technical writing strongly preferred. Four (4) years of Information Security experience required. Those containing hands on technical experience are preferred. Three or more years of experience managing timelines and being self-directed preferred. Governance, Risk, and Compliance (GRC) tool management (Administrative and/or Engineering) is preferred. Client focus, including tact and diplomacy is required. Interview, gather, and understand content from subject-matter experts Maintain accurate records and manage client security and risk requests Ability to perform as primary Security Subject Matter Expert (SME). Ability to facilitate and lead project and vendor risk assessments with relative independence and provide guidance on secure design and operation. Ability to independently complete and assist in completing client security questionnaires and security assessments concerning the Firm s security program and controls. Demonstrate the ability to create and maintain security policy, standard, guideline and procedure documents. Demonstrate the ability to communicate effectively technical topics at an appropriate level of detail to varied audiences - including IT Subject Matter Experts, senior management and non-technical users. Communicates succinctly and effectively Strong organization and problem-solving skills required Strong project and time management skills required Strong reading comprehension skills required Strong analytical ability with excellent written and verbal communication skills required Strong PC skills with Microsoft (ie Word, Excel, PowerPoint) required Ability to work independently and as a group member is required SharePoint administration is preferred for team Intranet site management Broad awareness of and exposure to diverse security tools and their capabilities, including commercial and open-source options. Strong knowledge of risk management principles and practices. Strong knowledge of security administration and role-based security controls. Strong knowledge and use of GRC platforms. Knowledge of host and network-based anti-malware technologies. Knowledge of authentication technologies and interactions between diverse authentication platforms, both on-site and remote. Knowledge of client and server Firewalling technologies and capabilities. Knowledge of security event management (SIEM), event correlation and analysis technologies. Knowledge of data encryption technologies. Strong knowledge of Intrusion Detection and Intrusion Prevention technical capabilities. Knowledge of web filtering and email SPAM prevention techniques. Knowledge of vulnerability assessment and forensic investigations tools. Knowledge of mobile device security and Mobile Device Management solutions. Knowledge of Privileged Access Management technologies. Preferred Skills: Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred.
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a GRC Security Risk Specialist. Candidate will work on the Governance, Risk Compliance team, leads and executes the programs within the GRC team, is a subject matter expert for Information Security (consulting to technical/non-technical management and the user community), and performs key risk management functions within the Security Governance department. Primary functions include life cycle management of client responses, Policy & Standards life cycle management, Security Vendor Risk program management, Security Awareness, Controls Assurance, and GRC platform and program management. Responsibilities: Respond to security assessments, questionnaires and audits from clients and third-party business partners in a timely manner. Document and perform assessments as needed. Technical writing for policies, standards and communications. Lead in the creation and maintenance of security policies, standards, processes guidelines and support documentation. Lead, evaluate, and supports the processes necessary to assure that Information Technology (IT) systems meet the organization's cyber security and risk requirements. Ensures appropriate treatment of risk, compliance, and assurance from internal and external perspectives. Serve as a subject matter expert for Information Security consulting to technical/non-technical management and staff. Manage and support the 3rd Party Security Vendor Risk Management program and lifec-ycle. Manage the exception request process and consult as needed. Lead the Security Awareness program. This includes road-map development, measurement, and evaluation of cyber training/education courses and methods based on instructional needs. Management and support of the GRC technology platforms. Conduct evaluations of an IT program or its individual components to determine compliance with published standards. Qualifications: Bachelor's degree or five (5) years of work experience in IT Security is required. Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred. Strong knowledge on Security frameworks and technologies such as ISO 27001, NIST, SOC, SIG is required Prior IT Security experience in the legal industry experience is preferred. Technical writing experience is required. Experience with instructional content, educational writing, and technical writing strongly preferred. Four (4) years of Information Security experience required. Those containing hands on technical experience are preferred. Three or more years of experience managing timelines and being self-directed preferred. Governance, Risk, and Compliance (GRC) tool management (Administrative and/or Engineering) is preferred. Client focus, including tact and diplomacy is required. Interview, gather, and understand content from subject-matter experts Maintain accurate records and manage client security and risk requests Ability to perform as primary Security Subject Matter Expert (SME). Ability to facilitate and lead project and vendor risk assessments with relative independence and provide guidance on secure design and operation. Ability to independently complete and assist in completing client security questionnaires and security assessments concerning the Firm s security program and controls. Demonstrate the ability to create and maintain security policy, standard, guideline and procedure documents. Demonstrate the ability to communicate effectively technical topics at an appropriate level of detail to varied audiences - including IT Subject Matter Experts, senior management and non-technical users. Communicates succinctly and effectively Strong organization and problem-solving skills required Strong project and time management skills required Strong reading comprehension skills required Strong analytical ability with excellent written and verbal communication skills required Strong PC skills with Microsoft (ie Word, Excel, PowerPoint) required Ability to work independently and as a group member is required SharePoint administration is preferred for team Intranet site management Broad awareness of and exposure to diverse security tools and their capabilities, including commercial and open-source options. Strong knowledge of risk management principles and practices. Strong knowledge of security administration and role-based security controls. Strong knowledge and use of GRC platforms. Knowledge of host and network-based anti-malware technologies. Knowledge of authentication technologies and interactions between diverse authentication platforms, both on-site and remote. Knowledge of client and server Firewalling technologies and capabilities. Knowledge of security event management (SIEM), event correlation and analysis technologies. Knowledge of data encryption technologies. Strong knowledge of Intrusion Detection and Intrusion Prevention technical capabilities. Knowledge of web filtering and email SPAM prevention techniques. Knowledge of vulnerability assessment and forensic investigations tools. Knowledge of mobile device security and Mobile Device Management solutions. Knowledge of Privileged Access Management technologies. Preferred Skills: Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred.
Request Technology - Craig Johnson
New York, New York
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Los Angeles (Downtown), California
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Subject: Cloud Consultant/Architect - On-Site - Gloucestershire/Bristol - £65 to £95K - AWS - IaaS - PaaS - Kubernetes - Automation Job Title: Cloud Technical Consultant/Architect Location: Gloucestershire/Bristol Salary: £65 - £95K Per Annum Benefits: Bonus, flexible working hours, career opportunities, private medical, excellent pension, and social benefits Active DV Clearance is highly desirable. Please note that candidates will need to be eligible to undergo DV Clearance. The Client: Curo are collaborating with a global edge-to-cloud company advancing the way people live and work. They help companies connect, protect, analyse, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. The Candidate: This is a fantastic opportunity for someone who has big ambitions and an outstanding ability to create strong relationships - or for a dynamic & seasoned Technologist who is looking for new & exciting opportunities to make a difference. Your focus will be to provide clients with the optimal consultative service and experience, resulting in business outcomes that meeting core client values and business requirements. If you are looking for challenges in a fast paced, thriving, international work environment, then we definitely want to hear from you. The Role: This is a brand new opportunity for a bright, driven, customer focussed professional to join our clients Cloud Delivery' team, and work alongside our Enterprise Cloud specialists to drive forward the design, deployment & operations of Cloud Infrastructure, Automation and Containerisation projects for the end-client. The delivery team help deliver valued clients the most effective Cloud solution to suit the organisational requirements of dynamic and fast-paced business. They support them to exploit maximum business benefit from Cloud solutions, leveraging best in class internal and Partner technologies to create relevant and engaging experiences. Duties: Support the design and development of new capabilities, preparing solution options, investigating technology, designing and running proof of concepts, providing assessments, advice and solution options, providing high level and low level design documentation. Cloud engineering capability to leverage Public Cloud platform using automated build processes deployed using Infrastructure as Code. Provide technical challenge and assurance throughout development and delivery of work. Develop re-useable common solutions and patterns to reduce development lead times, improve commonality and lowering Total Cost of Ownership. Work independently and/or within a team using a DevOps way of working. Required Technical skills & experience: Experienced in Cloud native technologies in AWS. Experienced in deploying IaaS/PaaS in Multi Cloud Environments. Experienced in Cloud and Infrastructure Engineering building and testing new capabilities, and supporting the development of new solutions and common templates. Experienced in being able to act as bridge from the infrastructure through to user facing systems. Desirable Technical Skills & Experience: Experienced in Kubernetes Containers. Experienced in the use of Automation tools eg Terraform, Ansible, Foreman, Puppet and Python. Experienced in different flavours of Linux platform and services. To apply for this Cloud Consultant/Architect permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
13/05/2024
Full time
Subject: Cloud Consultant/Architect - On-Site - Gloucestershire/Bristol - £65 to £95K - AWS - IaaS - PaaS - Kubernetes - Automation Job Title: Cloud Technical Consultant/Architect Location: Gloucestershire/Bristol Salary: £65 - £95K Per Annum Benefits: Bonus, flexible working hours, career opportunities, private medical, excellent pension, and social benefits Active DV Clearance is highly desirable. Please note that candidates will need to be eligible to undergo DV Clearance. The Client: Curo are collaborating with a global edge-to-cloud company advancing the way people live and work. They help companies connect, protect, analyse, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. The Candidate: This is a fantastic opportunity for someone who has big ambitions and an outstanding ability to create strong relationships - or for a dynamic & seasoned Technologist who is looking for new & exciting opportunities to make a difference. Your focus will be to provide clients with the optimal consultative service and experience, resulting in business outcomes that meeting core client values and business requirements. If you are looking for challenges in a fast paced, thriving, international work environment, then we definitely want to hear from you. The Role: This is a brand new opportunity for a bright, driven, customer focussed professional to join our clients Cloud Delivery' team, and work alongside our Enterprise Cloud specialists to drive forward the design, deployment & operations of Cloud Infrastructure, Automation and Containerisation projects for the end-client. The delivery team help deliver valued clients the most effective Cloud solution to suit the organisational requirements of dynamic and fast-paced business. They support them to exploit maximum business benefit from Cloud solutions, leveraging best in class internal and Partner technologies to create relevant and engaging experiences. Duties: Support the design and development of new capabilities, preparing solution options, investigating technology, designing and running proof of concepts, providing assessments, advice and solution options, providing high level and low level design documentation. Cloud engineering capability to leverage Public Cloud platform using automated build processes deployed using Infrastructure as Code. Provide technical challenge and assurance throughout development and delivery of work. Develop re-useable common solutions and patterns to reduce development lead times, improve commonality and lowering Total Cost of Ownership. Work independently and/or within a team using a DevOps way of working. Required Technical skills & experience: Experienced in Cloud native technologies in AWS. Experienced in deploying IaaS/PaaS in Multi Cloud Environments. Experienced in Cloud and Infrastructure Engineering building and testing new capabilities, and supporting the development of new solutions and common templates. Experienced in being able to act as bridge from the infrastructure through to user facing systems. Desirable Technical Skills & Experience: Experienced in Kubernetes Containers. Experienced in the use of Automation tools eg Terraform, Ansible, Foreman, Puppet and Python. Experienced in different flavours of Linux platform and services. To apply for this Cloud Consultant/Architect permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.