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.
02/06/2024
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.
01/06/2024
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.
31/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
31/05/2024
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.
31/05/2024
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.
31/05/2024
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.
31/05/2024
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.
NEW CONTRACT OPPORTUNITY FOR A CONFIGURATION ENGINEER WITH DV CLEARANCE Contract Opportunity 6-12 month initial contract Hybrid working model - based in Reading Up to £48 per hour Inside IR35 5 hours per week Ideally hold active DV Clearance To apply please email: (see below) WHAT WE ARE LOOKING FOR We are looking for a highly skilled Configuration Engineer to join our leading consultancy and contribute to major UK Nuclear projects. We are looking to speak with candidates based in and around Reading who hold active DV Clearance or are willing and eligible to obtain it. RESPONSIBILITIES INCLUDE Reconfiguring information into relevant product information frameworks Manual relocation of files Management of associated metadata files THE IDEAL CANDIDATE Previous Teamcenter experience Previous nuclear experience Must hold active SC Clearance as a minimum and be willing and eligible to obtain DV Clearance TO BE CONSIDERED Please either apply by clicking online or emailing me directly to (see below) For further information please call me. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. I look forward to hearing from you.
31/05/2024
Project-based
NEW CONTRACT OPPORTUNITY FOR A CONFIGURATION ENGINEER WITH DV CLEARANCE Contract Opportunity 6-12 month initial contract Hybrid working model - based in Reading Up to £48 per hour Inside IR35 5 hours per week Ideally hold active DV Clearance To apply please email: (see below) WHAT WE ARE LOOKING FOR We are looking for a highly skilled Configuration Engineer to join our leading consultancy and contribute to major UK Nuclear projects. We are looking to speak with candidates based in and around Reading who hold active DV Clearance or are willing and eligible to obtain it. RESPONSIBILITIES INCLUDE Reconfiguring information into relevant product information frameworks Manual relocation of files Management of associated metadata files THE IDEAL CANDIDATE Previous Teamcenter experience Previous nuclear experience Must hold active SC Clearance as a minimum and be willing and eligible to obtain DV Clearance TO BE CONSIDERED Please either apply by clicking online or emailing me directly to (see below) For further information please call me. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. I look forward to hearing from you.
Your new company Join a dynamic team within a leading global organisation specialising in trade and supply chain optimisation. As a Linux Infrastructure Engineer, you'll work at a prominent location in Stanford-le-Hope, Essex. The company is committed to creating a seamless and efficient supply chain, pushing the boundaries of innovation and transforming the future of global trade. Your new role As an Infrastructure Engineer, you will play a crucial role in designing, implementing, and maintaining the IT infrastructure within a prominent organisation's UK Terminals. Reporting to the Infrastructure Manager and working in a team of 5, you will be responsible for providing 1st, 2nd, and 3rd level infrastructure and desktop support. Your expertise in Linux enterprise systems, particularly Ubuntu/Debian/RHEL/Rocky, will be essential as you utilise the Linux command-line interface (CLI) and ensure best practice security configurations and patch management. You will contribute to the 24/7 system support of business-critical and essential IT services, and actively participate in maintaining Data Center operations and high availability solutions across two sites. Additionally, you will leverage virtualisation technologies, manage storage media and SAN, and monitor system capacity requirements. What you'll need to succeed To succeed in this role, you must have solid experience as an Infrastructure Engineer, with a strong focus on Linux operating systems. Your technical skill set should include: Linux Ubuntu, Debian Linux, RHEL/Rocky Linux in an enterprise environment Automation tools such as Terraform, Ansible, and Puppet Scripting languages like BASH and PowerShell Desirable experience with containers and Kubernetes VMware products including vCenter, ESXi, and clusters Knowledge of server chassis and blade concepts Familiarity with SAN technologies What you'll get in return Competitive Salary - £56,000 10% Bonus Hybrid and flexible working 25 days + 8 days bank holiday What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays EA is a trading division of Hays Specialist Recruitment Limited and 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.
30/05/2024
Full time
Your new company Join a dynamic team within a leading global organisation specialising in trade and supply chain optimisation. As a Linux Infrastructure Engineer, you'll work at a prominent location in Stanford-le-Hope, Essex. The company is committed to creating a seamless and efficient supply chain, pushing the boundaries of innovation and transforming the future of global trade. Your new role As an Infrastructure Engineer, you will play a crucial role in designing, implementing, and maintaining the IT infrastructure within a prominent organisation's UK Terminals. Reporting to the Infrastructure Manager and working in a team of 5, you will be responsible for providing 1st, 2nd, and 3rd level infrastructure and desktop support. Your expertise in Linux enterprise systems, particularly Ubuntu/Debian/RHEL/Rocky, will be essential as you utilise the Linux command-line interface (CLI) and ensure best practice security configurations and patch management. You will contribute to the 24/7 system support of business-critical and essential IT services, and actively participate in maintaining Data Center operations and high availability solutions across two sites. Additionally, you will leverage virtualisation technologies, manage storage media and SAN, and monitor system capacity requirements. What you'll need to succeed To succeed in this role, you must have solid experience as an Infrastructure Engineer, with a strong focus on Linux operating systems. Your technical skill set should include: Linux Ubuntu, Debian Linux, RHEL/Rocky Linux in an enterprise environment Automation tools such as Terraform, Ansible, and Puppet Scripting languages like BASH and PowerShell Desirable experience with containers and Kubernetes VMware products including vCenter, ESXi, and clusters Knowledge of server chassis and blade concepts Familiarity with SAN technologies What you'll get in return Competitive Salary - £56,000 10% Bonus Hybrid and flexible working 25 days + 8 days bank holiday What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays EA is a trading division of Hays Specialist Recruitment Limited and 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.
Your new company Join a dynamic team within a leading global organisation specialising in trade and supply chain optimisation. As a Linux Infrastructure Engineer, you'll work at a prominent location in Stanford-le-Hope, Essex. The company is committed to creating a seamless and efficient supply chain, pushing the boundaries of innovation and transforming the future of global trade. Your new role As an Infrastructure Engineer, you will play a crucial role in designing, implementing, and maintaining the IT infrastructure within a prominent organisation's UK Terminals. Reporting to the Infrastructure Manager and working in a team of 5, you will be responsible for providing 1st, 2nd, and 3rd level infrastructure and desktop support. Your expertise in Linux enterprise systems, particularly Ubuntu/Debian/RHEL/Rocky, will be essential as you utilise the Linux command-line interface (CLI) and ensure best practice security configurations and patch management. You will contribute to the 24/7 system support of business-critical and essential IT services, and actively participate in maintaining Data Center operations and high availability solutions across two sites. Additionally, you will leverage virtualisation technologies, manage storage media and SAN, and monitor system capacity requirements. What you'll need to succeed To succeed in this role, you must have solid experience as an Infrastructure Engineer, with a strong focus on Linux operating systems. Your technical skill set should include: Linux Ubuntu, Debian Linux, RHEL/Rocky Linux in an enterprise environment Automation tools such as Terraform, Ansible, and Puppet Scripting languages like BASH and PowerShell Desirable experience with containers and Kubernetes VMware products including vCenter, ESXi, and clusters Knowledge of server chassis and blade concepts Familiarity with SAN technologies What you'll get in return Competitive Salary - £56,000 10% Bonus Hybrid and flexible working 25 days + 8 days bank holiday What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays EA is a trading division of Hays Specialist Recruitment Limited and 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.
30/05/2024
Full time
Your new company Join a dynamic team within a leading global organisation specialising in trade and supply chain optimisation. As a Linux Infrastructure Engineer, you'll work at a prominent location in Stanford-le-Hope, Essex. The company is committed to creating a seamless and efficient supply chain, pushing the boundaries of innovation and transforming the future of global trade. Your new role As an Infrastructure Engineer, you will play a crucial role in designing, implementing, and maintaining the IT infrastructure within a prominent organisation's UK Terminals. Reporting to the Infrastructure Manager and working in a team of 5, you will be responsible for providing 1st, 2nd, and 3rd level infrastructure and desktop support. Your expertise in Linux enterprise systems, particularly Ubuntu/Debian/RHEL/Rocky, will be essential as you utilise the Linux command-line interface (CLI) and ensure best practice security configurations and patch management. You will contribute to the 24/7 system support of business-critical and essential IT services, and actively participate in maintaining Data Center operations and high availability solutions across two sites. Additionally, you will leverage virtualisation technologies, manage storage media and SAN, and monitor system capacity requirements. What you'll need to succeed To succeed in this role, you must have solid experience as an Infrastructure Engineer, with a strong focus on Linux operating systems. Your technical skill set should include: Linux Ubuntu, Debian Linux, RHEL/Rocky Linux in an enterprise environment Automation tools such as Terraform, Ansible, and Puppet Scripting languages like BASH and PowerShell Desirable experience with containers and Kubernetes VMware products including vCenter, ESXi, and clusters Knowledge of server chassis and blade concepts Familiarity with SAN technologies What you'll get in return Competitive Salary - £56,000 10% Bonus Hybrid and flexible working 25 days + 8 days bank holiday What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays EA is a trading division of Hays Specialist Recruitment Limited and 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.
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.
29/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Manager of Enterprise Quality Assurance. Candidate will lead the Quality Assurance (QA) function for the Information Technology Team. This leader will own quality strategies, implementation and institutionalization of specific tailored solutions for each production deliverable, ongoing development of the team and metrics development, reporting and improvement. The production deliverables include external and internal facing products running on or in laptops, desktops, mobile devices, data centers, cloud and hybrid environments around the world. An important goal of this role is to improve speed to business value and reducing defects that impact end-user productivity. Responsibilities: Develop and implement specific QA tailored solutions for each production deliverable. Establish relationship and governance with internal and third-party team members to conduct Quality Assurance responsibilities. Oversee and manage a global QA team with diverse backgrounds supporting QA development, which may include one or more third-party organizations. Ensure that management and allocation of QA resources based on project needs is performed. Develop, implement, or enhance and institutionalize QA processes, including metrics/measurements, reporting, and continuous improvement, that balance risk and delivery timelines. Integrate required and suggested testing framework in the IT Technology Services organization. Staying up to date with current state-of-the-art testing practices, testing practices and testing tools Ensure that QA feedback is being used to improve deliverable life cycle processes. Works with project team members to design, develop, and execute test plans. May consult to project teams, Subject Matter Experts (SMEs), and Business Units to design and develop test plans, test cases, and execution procedures. Recommends appropriate test execution approach in consideration of cost, scope, and timeline of product/solution delivery. Identifies test execution metrics to project team members. Prepares and communicates test results and reports accurate testing status to project team members. Provides estimates of text execution to support project-level resource planning efforts. May be required to facilitate onboarding and off boarding of in-sourced and/or outsourced testing resources. Review others (team or cross team) executed test results and help determine issues and priorities. Create and maintain quality control artifacts and make available to teams within and outside of IT. Adheres to industry and Firmwide IT specific quality engineering standards and processes. May be required to step in as a product manager for products that do not have an assigned Product Manager. Qualifications: Bachelor's degree in Computer Science, Computer Engineering, Information Technology or equivalent experience. 10 years of experience in software development and software quality assurance. 3 years of experience working in Agile development process. 3 years of experience with performance and load testing. 3 years of experience in management of QA organization including management of third parties that are also delivering QA services. Proficiency with software QA methodologies, tools, and processes. Proficiency in project management. Strong listening skills and highly collaborative. Good written and verbal communication skills. Attention to detail where needed. Clearly expresses verbal and written ideas. Understands, interprets and evaluates messages. Collaborates effectively. Conducts him/herself with utmost integrity at all times. Reports unethical conduct as required. Encourages fiscal responsibility and maintains confidentiality. Builds and maintains positive and supportive relationships across all departments and offices. Resolves conflict constructively. Establishes an environment of trust to promote knowledge sharing and group participation. Effectively resolves conflicts. Technologies: Microsoft Office applications iDevice (Iphone/IPad) Communications: Avaya Telephone/Equinox, Zoom, TEAMS, SKYPE Test Management System: JIRA, ServiceNow, ADO Project Management: Eclipse/Microsoft Project SQL (Writing simple queries) Enterprise Management Systems, Finance, Human Resource, Time Tracking, Billing, Risk SharePoint
29/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Manager of Enterprise Quality Assurance. Candidate will lead the Quality Assurance (QA) function for the Information Technology Team. This leader will own quality strategies, implementation and institutionalization of specific tailored solutions for each production deliverable, ongoing development of the team and metrics development, reporting and improvement. The production deliverables include external and internal facing products running on or in laptops, desktops, mobile devices, data centers, cloud and hybrid environments around the world. An important goal of this role is to improve speed to business value and reducing defects that impact end-user productivity. Responsibilities: Develop and implement specific QA tailored solutions for each production deliverable. Establish relationship and governance with internal and third-party team members to conduct Quality Assurance responsibilities. Oversee and manage a global QA team with diverse backgrounds supporting QA development, which may include one or more third-party organizations. Ensure that management and allocation of QA resources based on project needs is performed. Develop, implement, or enhance and institutionalize QA processes, including metrics/measurements, reporting, and continuous improvement, that balance risk and delivery timelines. Integrate required and suggested testing framework in the IT Technology Services organization. Staying up to date with current state-of-the-art testing practices, testing practices and testing tools Ensure that QA feedback is being used to improve deliverable life cycle processes. Works with project team members to design, develop, and execute test plans. May consult to project teams, Subject Matter Experts (SMEs), and Business Units to design and develop test plans, test cases, and execution procedures. Recommends appropriate test execution approach in consideration of cost, scope, and timeline of product/solution delivery. Identifies test execution metrics to project team members. Prepares and communicates test results and reports accurate testing status to project team members. Provides estimates of text execution to support project-level resource planning efforts. May be required to facilitate onboarding and off boarding of in-sourced and/or outsourced testing resources. Review others (team or cross team) executed test results and help determine issues and priorities. Create and maintain quality control artifacts and make available to teams within and outside of IT. Adheres to industry and Firmwide IT specific quality engineering standards and processes. May be required to step in as a product manager for products that do not have an assigned Product Manager. Qualifications: Bachelor's degree in Computer Science, Computer Engineering, Information Technology or equivalent experience. 10 years of experience in software development and software quality assurance. 3 years of experience working in Agile development process. 3 years of experience with performance and load testing. 3 years of experience in management of QA organization including management of third parties that are also delivering QA services. Proficiency with software QA methodologies, tools, and processes. Proficiency in project management. Strong listening skills and highly collaborative. Good written and verbal communication skills. Attention to detail where needed. Clearly expresses verbal and written ideas. Understands, interprets and evaluates messages. Collaborates effectively. Conducts him/herself with utmost integrity at all times. Reports unethical conduct as required. Encourages fiscal responsibility and maintains confidentiality. Builds and maintains positive and supportive relationships across all departments and offices. Resolves conflict constructively. Establishes an environment of trust to promote knowledge sharing and group participation. Effectively resolves conflicts. Technologies: Microsoft Office applications iDevice (Iphone/IPad) Communications: Avaya Telephone/Equinox, Zoom, TEAMS, SKYPE Test Management System: JIRA, ServiceNow, ADO Project Management: Eclipse/Microsoft Project SQL (Writing simple queries) Enterprise Management Systems, Finance, Human Resource, Time Tracking, Billing, Risk SharePoint
NO SPONSORSHIP QUALITY ASSURANCE MANAGER SALARY: $140K - $175K FLEX PLUS Bonus LOCATION: Chicago, IL This is a manager position. You will be a people manager managing vendors, outsourced resources, onshore, offshore, MSAS Back End technology. Applications desktop mobility strategies implementations products cloud global experience reducing defects that impact end users productivity will support QA development metrics agile tools processes Microsoft applications Jira ServiceNow This role will lead the Quality Assurance (QA) function for the Information Technology Team. This leader will own quality strategies, implementation and institutionalization of specific tailored solutions for each production deliverable, ongoing development of the team and metrics development, reporting and improvement. The production deliverables include external and internal facing products running on or in laptops, desktops, mobile devices, data centers, cloud and hybrid environments around the world. An important goal of this role is to improve speed to business value and reducing defects that impact end-user productivity. Develop and implement specific QA tailored solutions for each production deliverable. Establish relationship and governance with internal and third-party team members to conduct Quality Assurance responsibilities. Oversee and manage a global QA team with diverse backgrounds supporting QA development, which may include one or more third-party organizations. Ensure that management and allocation of QA resources based on project needs is performed. Develop, implement, or enhance and institutionalize QA processes, including metrics/measurements, reporting, and continuous improvement, that balance risk and delivery timelines. Integrate required and suggested testing framework in the IT Technology Services organization. Staying up to date with current state-of-the-art testing practices, testing practices and testing tools Ensure that QA feedback is being used to improve deliverable life cycle processes. Works with project team members to design, develop, and execute test plans. May consult to project teams, Subject Matter Experts (SMEs), and Business Units to design and develop test plans, test cases, and execution procedures. Recommends appropriate test execution approach in consideration of cost, scope, and timeline of product/solution delivery. Identifies test execution metrics to project team members. Prepares and communicates test results and reports accurate testing status to project team members. Provides estimates of text execution to support project-level resource planning efforts. May be required to facilitate onboarding and off boarding of in-sourced and/or outsourced testing resources. Review others (team or cross team) executed test results and help determine issues and priorities. Create and maintain quality control artifacts and make available to teams within and outside of IT. Adheres to industry and Firmwide IT specific quality engineering standards and processes. May be required to step in as a product manager for products that do not have an assigned Product Manager. Qualifications & Requirements Bachelors degree 10 years of experience in software development and software quality assurance. 3 years of experience working in Agile development process. 3 years of experience with performance and load testing. 3 years of experience in management of QA organization including management of third parties that are also delivering QA services. Proficiency with software QA methodologies, tools, and processes. Proficiency in project management. Strong listening skills and highly collaborative. Microsoft Office applications iDevice (Iphone/IPad) Communications: Avaya Telephone/Equinox, Zoom, TEAMS, SKYPE Test Management System: JIRA, ServiceNow, ADO Project Management: Eclipse/Microsoft Project SQL (Writing simple queries) Enterprise Management Systems, Finance, Human Resource, Time Tracking, Billing, Risk SharePoint
29/05/2024
Full time
NO SPONSORSHIP QUALITY ASSURANCE MANAGER SALARY: $140K - $175K FLEX PLUS Bonus LOCATION: Chicago, IL This is a manager position. You will be a people manager managing vendors, outsourced resources, onshore, offshore, MSAS Back End technology. Applications desktop mobility strategies implementations products cloud global experience reducing defects that impact end users productivity will support QA development metrics agile tools processes Microsoft applications Jira ServiceNow This role will lead the Quality Assurance (QA) function for the Information Technology Team. This leader will own quality strategies, implementation and institutionalization of specific tailored solutions for each production deliverable, ongoing development of the team and metrics development, reporting and improvement. The production deliverables include external and internal facing products running on or in laptops, desktops, mobile devices, data centers, cloud and hybrid environments around the world. An important goal of this role is to improve speed to business value and reducing defects that impact end-user productivity. Develop and implement specific QA tailored solutions for each production deliverable. Establish relationship and governance with internal and third-party team members to conduct Quality Assurance responsibilities. Oversee and manage a global QA team with diverse backgrounds supporting QA development, which may include one or more third-party organizations. Ensure that management and allocation of QA resources based on project needs is performed. Develop, implement, or enhance and institutionalize QA processes, including metrics/measurements, reporting, and continuous improvement, that balance risk and delivery timelines. Integrate required and suggested testing framework in the IT Technology Services organization. Staying up to date with current state-of-the-art testing practices, testing practices and testing tools Ensure that QA feedback is being used to improve deliverable life cycle processes. Works with project team members to design, develop, and execute test plans. May consult to project teams, Subject Matter Experts (SMEs), and Business Units to design and develop test plans, test cases, and execution procedures. Recommends appropriate test execution approach in consideration of cost, scope, and timeline of product/solution delivery. Identifies test execution metrics to project team members. Prepares and communicates test results and reports accurate testing status to project team members. Provides estimates of text execution to support project-level resource planning efforts. May be required to facilitate onboarding and off boarding of in-sourced and/or outsourced testing resources. Review others (team or cross team) executed test results and help determine issues and priorities. Create and maintain quality control artifacts and make available to teams within and outside of IT. Adheres to industry and Firmwide IT specific quality engineering standards and processes. May be required to step in as a product manager for products that do not have an assigned Product Manager. Qualifications & Requirements Bachelors degree 10 years of experience in software development and software quality assurance. 3 years of experience working in Agile development process. 3 years of experience with performance and load testing. 3 years of experience in management of QA organization including management of third parties that are also delivering QA services. Proficiency with software QA methodologies, tools, and processes. Proficiency in project management. Strong listening skills and highly collaborative. Microsoft Office applications iDevice (Iphone/IPad) Communications: Avaya Telephone/Equinox, Zoom, TEAMS, SKYPE Test Management System: JIRA, ServiceNow, ADO Project Management: Eclipse/Microsoft Project SQL (Writing simple queries) Enterprise Management Systems, Finance, Human Resource, Time Tracking, Billing, Risk SharePoint
Position: Dell (VxRail/ESXi) Admin + Windows Admin Location: Rugby, UK - Hybrid Duration: Permanent Responsibilities : This role within the Global Windows Platform & Services team is responsible for planning, designing, automating, orchestrating, and implementing the entire stack of VMware solutions in our data centers. You will need to have expert knowledge of installing and managing the Dell Vxrail infrastructure, VMware technologies, and related technologies such as SAN storage, backup solution and third-party supporting applications. Responsibilities/Qualification 5+ year experience in similar role, in-depth VMware ESXi/vCenter and Horizon experience. Installation and Support of Dell Vxrail and ESXi on new hardware including Dell EMC Storage Centre Roles and responsibilities. Perform planning activities for the VxRail solution to be implemented. Lead the implementation and Support of VxRail, Powerstore, and PowerEdge solutions for our clients. Gather and document business requirements, assess technical capabilities and analyze findings to translate into the engineering of technology solutions. Create logical, physical design and architecture for all VMware-based server and virtual desktop solutions (ESXi/vCenter, Horizon, NSX-T, AppVolumes, Dynamic Environment Manager). Take ownership of Active Directory and Windows Server infrastructure, service operations and support. Lead on all phases of Active Directory and Windows Server estate life cycle management. Lead on troubleshooting Active Directory, DNS, DHCP, MFA and Group Policy issues. Strong technical experience in administering MFA (Multi-Factor Authentication) technologies across server and client components. Actively manage and monitor Active Directory and Server estate related ServiceNow tickets, and remediations from monitoring and alerting systems. Experience in creating/updating the Server/Client Golden image. Experience in Microsoft 365 services and Endpoint Manager Strong PowerShell, SCCM and SCOM skills. Experience support Veeam Back up solution. Follow policies and procedures for change, problem, and incident management. Proactively participate in L2/L3 problem escalations and resolve server support issues. Participate in the on-call rotation and planned maintenance activities after hours when needed. Includes operational maintenance of infrastructure such as vSAN, App Volumes, Dynamic Environment Manager etc. Strong working knowledge of vCenter, ESXi, CLI commands, ESXi updates/troubleshooting, Windows 10 golden image creation with the usage of clones and templates. Excellent verbal and written communication skills. Strong customer service and professional client facing skills. Strong time management and organizational skills and ability to meet project deadlines. Understanding of networking concepts, LAN/WAN, DNS/DHCP, routing, switching and Firewalls within the scope of the VMware technology stack. Experience as an Implementation and support, with a strong focus on VxRail, Powerstore, and PowerEdge. Desirable VMware Certifications (VCP-DCV, VCP-DTM) are a strong plus. Expert experience in Windows Server 2008/2012/2016, Microsoft SQL & Windows clustering technologies, Active Directory, Group Policy and DFS file systems. More Dell products experience is preferred.
29/05/2024
Full time
Position: Dell (VxRail/ESXi) Admin + Windows Admin Location: Rugby, UK - Hybrid Duration: Permanent Responsibilities : This role within the Global Windows Platform & Services team is responsible for planning, designing, automating, orchestrating, and implementing the entire stack of VMware solutions in our data centers. You will need to have expert knowledge of installing and managing the Dell Vxrail infrastructure, VMware technologies, and related technologies such as SAN storage, backup solution and third-party supporting applications. Responsibilities/Qualification 5+ year experience in similar role, in-depth VMware ESXi/vCenter and Horizon experience. Installation and Support of Dell Vxrail and ESXi on new hardware including Dell EMC Storage Centre Roles and responsibilities. Perform planning activities for the VxRail solution to be implemented. Lead the implementation and Support of VxRail, Powerstore, and PowerEdge solutions for our clients. Gather and document business requirements, assess technical capabilities and analyze findings to translate into the engineering of technology solutions. Create logical, physical design and architecture for all VMware-based server and virtual desktop solutions (ESXi/vCenter, Horizon, NSX-T, AppVolumes, Dynamic Environment Manager). Take ownership of Active Directory and Windows Server infrastructure, service operations and support. Lead on all phases of Active Directory and Windows Server estate life cycle management. Lead on troubleshooting Active Directory, DNS, DHCP, MFA and Group Policy issues. Strong technical experience in administering MFA (Multi-Factor Authentication) technologies across server and client components. Actively manage and monitor Active Directory and Server estate related ServiceNow tickets, and remediations from monitoring and alerting systems. Experience in creating/updating the Server/Client Golden image. Experience in Microsoft 365 services and Endpoint Manager Strong PowerShell, SCCM and SCOM skills. Experience support Veeam Back up solution. Follow policies and procedures for change, problem, and incident management. Proactively participate in L2/L3 problem escalations and resolve server support issues. Participate in the on-call rotation and planned maintenance activities after hours when needed. Includes operational maintenance of infrastructure such as vSAN, App Volumes, Dynamic Environment Manager etc. Strong working knowledge of vCenter, ESXi, CLI commands, ESXi updates/troubleshooting, Windows 10 golden image creation with the usage of clones and templates. Excellent verbal and written communication skills. Strong customer service and professional client facing skills. Strong time management and organizational skills and ability to meet project deadlines. Understanding of networking concepts, LAN/WAN, DNS/DHCP, routing, switching and Firewalls within the scope of the VMware technology stack. Experience as an Implementation and support, with a strong focus on VxRail, Powerstore, and PowerEdge. Desirable VMware Certifications (VCP-DCV, VCP-DTM) are a strong plus. Expert experience in Windows Server 2008/2012/2016, Microsoft SQL & Windows clustering technologies, Active Directory, Group Policy and DFS file systems. More Dell products experience is preferred.
We are working with reputable construction company that is looking to hire a Senior Planner on a permanent basis for a site in Oxfordshire. You will be working on a Data Center project and you will join a team of experienced professionals. As the Senior Planner you will be responsible for: Lead the development of the baseline contract programme. This includes design, procurement, construction, commissioning, and handover. Ensure all programme elements are logically linked and have a critical path. Prepare a construction (target) programme to highlight improvements against the contract programme. Create a tender event programme for subcontractor procurement, incorporating design release and lead-in activities. Maintain electronic files and manage planning documents for easy retrieval using the common data environment (CDE). Provide necessary programme information to support the management team. Develop 4D graphical models or 2D phasing plans to represent the build sequence, phasing, and logistics. Use the construction programme to help produce project prelim books, including staff resources, logistics, and temporary works. Engage with the supply chain to develop the project programme, considering design, lead-in times, construction periods, and plant and labour needs. Review risks and opportunities for each programme. Highlight potential mitigation measures, including float and time risk allowances. You will bring extensive experience in the construction industry in a Senior Planner capacity and you will have: Relevant Degree or diploma Qualifications in construction management Certification for use of planning and programme software Membership of relevant professional body, where applicable Advanced Asta Powerproject Training - Progress Analysis & S-curve reporting. Advanced Primavera P6 Training Managing costs & resources. Managing People Training Advanced contract awareness - Understanding JCT and NEC forms of contract Apply today for a confidential chat.
29/05/2024
Full time
We are working with reputable construction company that is looking to hire a Senior Planner on a permanent basis for a site in Oxfordshire. You will be working on a Data Center project and you will join a team of experienced professionals. As the Senior Planner you will be responsible for: Lead the development of the baseline contract programme. This includes design, procurement, construction, commissioning, and handover. Ensure all programme elements are logically linked and have a critical path. Prepare a construction (target) programme to highlight improvements against the contract programme. Create a tender event programme for subcontractor procurement, incorporating design release and lead-in activities. Maintain electronic files and manage planning documents for easy retrieval using the common data environment (CDE). Provide necessary programme information to support the management team. Develop 4D graphical models or 2D phasing plans to represent the build sequence, phasing, and logistics. Use the construction programme to help produce project prelim books, including staff resources, logistics, and temporary works. Engage with the supply chain to develop the project programme, considering design, lead-in times, construction periods, and plant and labour needs. Review risks and opportunities for each programme. Highlight potential mitigation measures, including float and time risk allowances. You will bring extensive experience in the construction industry in a Senior Planner capacity and you will have: Relevant Degree or diploma Qualifications in construction management Certification for use of planning and programme software Membership of relevant professional body, where applicable Advanced Asta Powerproject Training - Progress Analysis & S-curve reporting. Advanced Primavera P6 Training Managing costs & resources. Managing People Training Advanced contract awareness - Understanding JCT and NEC forms of contract Apply today for a confidential chat.
Director, AI and Data Science Salary: Open + Bonus Available in any of the following locations: Chicago, IL/Houston, TX/Salt Lake City, UT Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. 10+ years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector.
28/05/2024
Full time
Director, AI and Data Science Salary: Open + Bonus Available in any of the following locations: Chicago, IL/Houston, TX/Salt Lake City, UT Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. 10+ years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector.
As a Software and Application Specialist, your primary role will be to support and optimize software solutions to meet business demands. This includes setting up technical infrastructure, ensuring security measures, providing consultation on issues, and transitioning to regular operations post-implementation. You will be responsible for vendor management, stakeholder collaboration, aligning software with security policies, and adhering to development standards. A crucial aspect of your role will be liaising with global and regional teams to integrate data and applications, translating business needs into functional requirements. In addition, you will manage the applications, infrastructure, and data within the technical centers, and maintain communication with stakeholders. Requirements: Experience in vendor and stakeholder management, project management, and infrastructure services delivery Ability to set up and secure technical infrastructures Basic technical expertise in networking, hosting, virtualization, security, and IoT troubleshooting Familiarity with hardware and Server Side operations Experience in a global IT function, preferably similar to any FMCG company Experience with IT outsourcing providers and IT Infrastructure Library frameworks Understanding of business processes within the Research & Development (R&D) function Fluency in Spanish and/or Portuguese Degree in IT/IS Computer Science or equivalent Technical, infrastructure, and data skills with business acumen Analytical and problem-solving abilities Ability to influence others and manage multi-country stakeholders Knowledge of R&D or pre-manufacturing processes and/or applications is a plus Knowledge of Data & Analytics or Modelling & Simulation solutions is a plus Willingness to travel 10-25% to selected R&D technical center sites as needed (United States and Brazil) Preferred candidates will have experience working within the Research & Development and manufacturing sectors, along with practical knowledge of server data devices and Internet of Things (IoT). The ideal candidate should possess excellent communication skills, have experience in project management, and display a strong curiosity and drive for continuous learning and development within infrastructure. Please reach out to me directly or send an email with your CV attached
28/05/2024
Project-based
As a Software and Application Specialist, your primary role will be to support and optimize software solutions to meet business demands. This includes setting up technical infrastructure, ensuring security measures, providing consultation on issues, and transitioning to regular operations post-implementation. You will be responsible for vendor management, stakeholder collaboration, aligning software with security policies, and adhering to development standards. A crucial aspect of your role will be liaising with global and regional teams to integrate data and applications, translating business needs into functional requirements. In addition, you will manage the applications, infrastructure, and data within the technical centers, and maintain communication with stakeholders. Requirements: Experience in vendor and stakeholder management, project management, and infrastructure services delivery Ability to set up and secure technical infrastructures Basic technical expertise in networking, hosting, virtualization, security, and IoT troubleshooting Familiarity with hardware and Server Side operations Experience in a global IT function, preferably similar to any FMCG company Experience with IT outsourcing providers and IT Infrastructure Library frameworks Understanding of business processes within the Research & Development (R&D) function Fluency in Spanish and/or Portuguese Degree in IT/IS Computer Science or equivalent Technical, infrastructure, and data skills with business acumen Analytical and problem-solving abilities Ability to influence others and manage multi-country stakeholders Knowledge of R&D or pre-manufacturing processes and/or applications is a plus Knowledge of Data & Analytics or Modelling & Simulation solutions is a plus Willingness to travel 10-25% to selected R&D technical center sites as needed (United States and Brazil) Preferred candidates will have experience working within the Research & Development and manufacturing sectors, along with practical knowledge of server data devices and Internet of Things (IoT). The ideal candidate should possess excellent communication skills, have experience in project management, and display a strong curiosity and drive for continuous learning and development within infrastructure. Please reach out to me directly or send an email with your CV attached
DevSecOps Senior & Team Lead (Public Transport) 50% remote, 50% on-site in Brussels Do you want to lead a high-performing DevSecOps team and make a real impact in the public transport sector? We are looking for a talented and experienced DevSecOps Senior & Team Lead to join my client's team. In this role, you will be responsible for leading a team of technical professionals and driving innovation in our DevSecOps practices. About the role Lead and motivate a team of 6-10 engineers (junior, mid-level, and senior) Foster a collaborative and positive work environment Ensure efficient and timely delivery of projects Manage budgets and resources effectively Possess excellent communication and interpersonal skills Be able to work effectively under pressure and prioritize tasks Work with a customer-centric approach and maintain confidentiality Technical Skills and Experience Master's degree in engineering or computer science (or equivalent experience) Proven experience leading a technical team Experience with Agile methodologies Strong understanding of Linux operating systems (Red Hat) and Scripting (Bash, Python) Fluency in Dutch, French, and English Solid experience with cybersecurity for OT infrastructure Experience working in a production environment Basic knowledge of Javascript and Java Basic understanding of network administration (Routers, Switches, VPNs, Firewalls) A plus: Certifications: CISSP, CISM, ISO 27001 Experience with DevSecOps tools: Puppet (open source), Ansible Monitoring tools: Zabbix, Nagios Logging and analytics: Elastic Stack (including Kibana) Database technologies: MySQL, PostgreSQL Atlassian suite (Jira, Confluence, Git) VMWare (vCenter) Git version control Configuration Management Databases (CMDBs) like GLPI For immediate consideration, please forward your latest CV.
27/05/2024
Project-based
DevSecOps Senior & Team Lead (Public Transport) 50% remote, 50% on-site in Brussels Do you want to lead a high-performing DevSecOps team and make a real impact in the public transport sector? We are looking for a talented and experienced DevSecOps Senior & Team Lead to join my client's team. In this role, you will be responsible for leading a team of technical professionals and driving innovation in our DevSecOps practices. About the role Lead and motivate a team of 6-10 engineers (junior, mid-level, and senior) Foster a collaborative and positive work environment Ensure efficient and timely delivery of projects Manage budgets and resources effectively Possess excellent communication and interpersonal skills Be able to work effectively under pressure and prioritize tasks Work with a customer-centric approach and maintain confidentiality Technical Skills and Experience Master's degree in engineering or computer science (or equivalent experience) Proven experience leading a technical team Experience with Agile methodologies Strong understanding of Linux operating systems (Red Hat) and Scripting (Bash, Python) Fluency in Dutch, French, and English Solid experience with cybersecurity for OT infrastructure Experience working in a production environment Basic knowledge of Javascript and Java Basic understanding of network administration (Routers, Switches, VPNs, Firewalls) A plus: Certifications: CISSP, CISM, ISO 27001 Experience with DevSecOps tools: Puppet (open source), Ansible Monitoring tools: Zabbix, Nagios Logging and analytics: Elastic Stack (including Kibana) Database technologies: MySQL, PostgreSQL Atlassian suite (Jira, Confluence, Git) VMWare (vCenter) Git version control Configuration Management Databases (CMDBs) like GLPI For immediate consideration, please forward your latest CV.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
21/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
21/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.