Request Technology - Craig Johnson
New York, New York
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Los Angeles (Downtown), California
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Scala Data Engineer (Cloudera, Hadoop and CI/CD) - Banking Client - Brussels Duration: 1 year freelance contract Rate: €500 - €800 per day Hybrid working INSIDE OF IR35 You will join the AIR (Analytics, Insight and Reporting tribe) in GDC division. You will be join our dedicated in-house team of data-specialists using a pragmatic best-tool-for-the-job approach to optimise our hybrid infrastructure. With a strong focus on DataOps and MLOps we firmly believe in robust and production-ready solutions being an essential part to our work. The result? Our team provides an ecosystem of data-driven products to internal and external consumers Job requirements The Skills You are strongly motivated to become an excellent Data Engineer. You have a background in IT development and are at least fluent in one programming language, preferably Scala . You have a strong passion for data-driven technologies and interesting design challenges. You have a knack for picking up on new technologies and frameworks . You ideally have knowledge of English , knowledge of other European languages is a plus Nice to haves You know that Cloudera, Hadoop and CI/CD aren't popular video games. You have heard of tools like Apache Spark, Impala and/or Kafka. You have a first experience with cloud platforms like Azure. We are looking for colleagues with the same passion for data as well as personal and professional development, so don't worry if you don't tick all the boxes. Please do send across to me the most up-to-date copy of your CV to (see below)
15/05/2024
Project-based
Scala Data Engineer (Cloudera, Hadoop and CI/CD) - Banking Client - Brussels Duration: 1 year freelance contract Rate: €500 - €800 per day Hybrid working INSIDE OF IR35 You will join the AIR (Analytics, Insight and Reporting tribe) in GDC division. You will be join our dedicated in-house team of data-specialists using a pragmatic best-tool-for-the-job approach to optimise our hybrid infrastructure. With a strong focus on DataOps and MLOps we firmly believe in robust and production-ready solutions being an essential part to our work. The result? Our team provides an ecosystem of data-driven products to internal and external consumers Job requirements The Skills You are strongly motivated to become an excellent Data Engineer. You have a background in IT development and are at least fluent in one programming language, preferably Scala . You have a strong passion for data-driven technologies and interesting design challenges. You have a knack for picking up on new technologies and frameworks . You ideally have knowledge of English , knowledge of other European languages is a plus Nice to haves You know that Cloudera, Hadoop and CI/CD aren't popular video games. You have heard of tools like Apache Spark, Impala and/or Kafka. You have a first experience with cloud platforms like Azure. We are looking for colleagues with the same passion for data as well as personal and professional development, so don't worry if you don't tick all the boxes. Please do send across to me the most up-to-date copy of your CV to (see below)
App Analytics Manager - eCommerce App Analytics Manager is required to join a global eCommerce business to work on digital transformation surrounding the design and rapid scaling of their mobile app platform. The role is based in London (hybrid working 1 office day per week) and is a permanent role offering a salary of up to £80,000. A key element of this digital transformation being a success will be to onboard an analytics specialist who will provide analytical support to various product and marketing teams. This person will provide key insights and recommendations surrounding the app in order to make data-driven decisions that further enhance and develop the app. This person will lead this transformation and be given free rein to own analytics projects from start to finish, collaborating with a wide range and business and technical stakeholders. Requirements: Proven experience leading app/digital analytics optimisation initiatives in an Agile environment. Experience with a variety of enterprise level digital analytics solutions. Experience with a variety of data visualisation tools. Strong data analysis expertise. This is a great opportunity to work on the development and refinement of a new app platform that is pivotal to the success of this business's digital transformation strategy. If you feel like you match the above and would like to hear more, please apply within. App Analytics Manager - eCommerce Kite Human Capital - Hire Better We are unashamedly focused on working with only the best people, who care about customer value and maintain a fantastic working reputation. If you are someone that is committed to working hard to achieve great results, views challenge as an exciting opportunity and wants to work in some of the best possible assignments then please get in touch, we'd love to help you find your next position. We pride ourselves on rock solid integrity and honesty, and place client value at the centre of every decision we make. 2023 - Winner Most Innovative Recruitment Agency 2023 - Winner Best Banking/Professional Service 2018 - Winner Best Client Service 2017 - Winner Agency of The Year 2017 - Winner Banking & Financial Services Agency 2016 - Winner Banking & Financial Services Agency
15/05/2024
Full time
App Analytics Manager - eCommerce App Analytics Manager is required to join a global eCommerce business to work on digital transformation surrounding the design and rapid scaling of their mobile app platform. The role is based in London (hybrid working 1 office day per week) and is a permanent role offering a salary of up to £80,000. A key element of this digital transformation being a success will be to onboard an analytics specialist who will provide analytical support to various product and marketing teams. This person will provide key insights and recommendations surrounding the app in order to make data-driven decisions that further enhance and develop the app. This person will lead this transformation and be given free rein to own analytics projects from start to finish, collaborating with a wide range and business and technical stakeholders. Requirements: Proven experience leading app/digital analytics optimisation initiatives in an Agile environment. Experience with a variety of enterprise level digital analytics solutions. Experience with a variety of data visualisation tools. Strong data analysis expertise. This is a great opportunity to work on the development and refinement of a new app platform that is pivotal to the success of this business's digital transformation strategy. If you feel like you match the above and would like to hear more, please apply within. App Analytics Manager - eCommerce Kite Human Capital - Hire Better We are unashamedly focused on working with only the best people, who care about customer value and maintain a fantastic working reputation. If you are someone that is committed to working hard to achieve great results, views challenge as an exciting opportunity and wants to work in some of the best possible assignments then please get in touch, we'd love to help you find your next position. We pride ourselves on rock solid integrity and honesty, and place client value at the centre of every decision we make. 2023 - Winner Most Innovative Recruitment Agency 2023 - Winner Best Banking/Professional Service 2018 - Winner Best Client Service 2017 - Winner Agency of The Year 2017 - Winner Banking & Financial Services Agency 2016 - Winner Banking & Financial Services Agency
Director, AI and Data Science Salary: Open + Bonus Available in any of the following locations: Chicago, IL/Houston, TX/Salt Lake City, UT Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. 10+ years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector.
14/05/2024
Full time
Director, AI and Data Science Salary: Open + Bonus Available in any of the following locations: Chicago, IL/Houston, TX/Salt Lake City, UT Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. 10+ years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
14/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
NO SPONSORSHIP M365 SERVICES/Microsoft Teams Platform Manager SALARY: $150k - $190k plus bonus LOCATIONS: Dallas/Austin/Houston TX Chicago, IL Boston, MA Palo Alto 94304/San Francisco/Los Angeles, CA New York City, NY Salt lake City, UT Washington DC Miami, FL Looking for an M365/Microsoft Teams services platform manager for SharePoint online. You will be very hands on managing consultants then eventually build a team. Focus on MS Teams experience. The team is seeking at least three to four years experience in MS Teams that includes audio/visual conferencing, analytics, Team Premium, and MT SME. This position is responsible for leading one or more M365 products in the continued development, management and support of M365 products including MS Teams, SharePoint Online, Planner and Streams. The right candidate is expected to provide leadership in establishing robust M365 service administration protocols, and they will work with their colleagues in identifying, documenting, and supporting our business use cases for our evolving, core device-top services Administers the Firm's M365 collaboration tools, including SharePoint Online, MS Teams, OneNote, OneDrive, Streams, Planner, Viva Engage, etc Provisions sites and accounts, and oversees management of the provisioning process, using any tools provided to facilitate the process Continually develops the processes and policies for provisioning Forms a community with the firm's Global Assistant Director of M365 Platform, the Cloud Architect, the Enterprise Application Architect (and with others as needed) to provide collective oversight of the M365 ecosystem Promotes optimal useability of M365 services Monitors Microsoft's roadmap for upgrades to M365 services and establishes the mechanisms by which we share relevant changes with our people Works with the office of the Director of Information Governance in ensuring content management policies for M365 are in compliance and updated as business needs evolve Works closely with the Security team, prioritizing safety of the firm's systems and content Identifies potential points of integration between M365 services on the core device-top and works with technical colleagues to deliver key integrations Promotes use of the data available via the Microsoft admin portal to identify areas of untapped benefit, and to foster our continuing path towards a data-driven organization Provides level three support for functional requests relating to M365 collaboration services Continually evaluates opportunities to improve our people's experience of technology, preferably in a scalable way A coach and mentor to other team members, providing training if required Fosters trust and builds relationships with the other Information Technology teams Develop and/or lead change management efforts across all phases of projects and initiatives to drive the Firms culture of continuous improvement Qualifications & Requirements Bachelor's degree in Computer Science or a related field. 5+ years of M365 product experience Prior experience in M365, specifically MS Teams and SharePoint Online administration, and guiding their use within an organization In depth knowledge of SharePoint Online and Microsoft Teams is required Holistic knowledge of the M365 Suite is required Knowledge of Intapp Workspaces is helpful PowerShell Scripting Excellent collaboration, interpersonal, and communication skills Proven change management skills Someone who has learned to lead, and desires to do so, even when there may be no formal lines of reporting; effectively communicates and influence others outside the direct chain of reporting Certificates, Licensures, Registrations M365 certification, such as MS Teams Specialist, SPO Admin and or Development
14/05/2024
Full time
NO SPONSORSHIP M365 SERVICES/Microsoft Teams Platform Manager SALARY: $150k - $190k plus bonus LOCATIONS: Dallas/Austin/Houston TX Chicago, IL Boston, MA Palo Alto 94304/San Francisco/Los Angeles, CA New York City, NY Salt lake City, UT Washington DC Miami, FL Looking for an M365/Microsoft Teams services platform manager for SharePoint online. You will be very hands on managing consultants then eventually build a team. Focus on MS Teams experience. The team is seeking at least three to four years experience in MS Teams that includes audio/visual conferencing, analytics, Team Premium, and MT SME. This position is responsible for leading one or more M365 products in the continued development, management and support of M365 products including MS Teams, SharePoint Online, Planner and Streams. The right candidate is expected to provide leadership in establishing robust M365 service administration protocols, and they will work with their colleagues in identifying, documenting, and supporting our business use cases for our evolving, core device-top services Administers the Firm's M365 collaboration tools, including SharePoint Online, MS Teams, OneNote, OneDrive, Streams, Planner, Viva Engage, etc Provisions sites and accounts, and oversees management of the provisioning process, using any tools provided to facilitate the process Continually develops the processes and policies for provisioning Forms a community with the firm's Global Assistant Director of M365 Platform, the Cloud Architect, the Enterprise Application Architect (and with others as needed) to provide collective oversight of the M365 ecosystem Promotes optimal useability of M365 services Monitors Microsoft's roadmap for upgrades to M365 services and establishes the mechanisms by which we share relevant changes with our people Works with the office of the Director of Information Governance in ensuring content management policies for M365 are in compliance and updated as business needs evolve Works closely with the Security team, prioritizing safety of the firm's systems and content Identifies potential points of integration between M365 services on the core device-top and works with technical colleagues to deliver key integrations Promotes use of the data available via the Microsoft admin portal to identify areas of untapped benefit, and to foster our continuing path towards a data-driven organization Provides level three support for functional requests relating to M365 collaboration services Continually evaluates opportunities to improve our people's experience of technology, preferably in a scalable way A coach and mentor to other team members, providing training if required Fosters trust and builds relationships with the other Information Technology teams Develop and/or lead change management efforts across all phases of projects and initiatives to drive the Firms culture of continuous improvement Qualifications & Requirements Bachelor's degree in Computer Science or a related field. 5+ years of M365 product experience Prior experience in M365, specifically MS Teams and SharePoint Online administration, and guiding their use within an organization In depth knowledge of SharePoint Online and Microsoft Teams is required Holistic knowledge of the M365 Suite is required Knowledge of Intapp Workspaces is helpful PowerShell Scripting Excellent collaboration, interpersonal, and communication skills Proven change management skills Someone who has learned to lead, and desires to do so, even when there may be no formal lines of reporting; effectively communicates and influence others outside the direct chain of reporting Certificates, Licensures, Registrations M365 certification, such as MS Teams Specialist, SPO Admin and or Development
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
14/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
Senior Software Engineer Join the Impact: We are delighted to be working exclusively with a client who is seeking a passionate software engineer who thrives on the transformative power of Data and AI. As a Senior Full Stack Engineer, you'll shape product development, tackle individual projects, engage with customers to solve real-world business challenges, and guide junior Engineers. Be part of their dynamic journey! What you'll do: Lead data analytics solution delivery and manage product roadmaps. Define, apply, and monitor software development best practices. Line management of engineering team members. Mentor and train junior staff. Design user-friendly interfaces and write efficient code. Collaborate with clients to understand data requirements. Manage and integrate customer and third-party data. Develop efficient database schema and architect solutions. Review colleagues' code and contribute to technical reports. Stay up to date with technology and support clients. What you'll have: Keen Interest in Technology: Actively seeks to expand technical knowledge. Technical Proficiency: Understands fundamental data structures, algorithm design, and problem-solving. Proactive and Innovative: Encourages continuous improvement. Thrives in a dynamic environment. Customer-Centric: Empathetic toward customer needs. Effective Communication Independent Problem Solver Leadership Qualities What you'll need: Web Application Frameworks: Proficient in modern single-page web application frameworks (JavaScript/TypeScript, HTML/CSS), ideally Angular. UX/UI Design: Experience with UX/UI design and design tools. Backend Development: Python and SQL. Database Skills: Understanding of database design and operation. Software Development Practices: Knowledge of cloud-native architectures, continuous integration, deployment, automated testing, and iterative product development. Methodologies: Expertise in Agile/SCRUM software development methodologies. Leadership and Collaboration: Experience mentoring and line managing engineers. Collaborative software development using version control (preferably GIT) What you'll get in return: Annual Leave: 35 days (including public holidays). Flexible Working: Core hours' flexibility. Financial Benefits: Competitive salary. Pension scheme. Private health insurance. Gym membership contribution. Professional Development: Opportunities for courses, books, exams, and conferences. Social and Recognition: Weekly knowledge sharing presentations. Regular company outings. Monthly staff acknowledgements and celebrations 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 Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
14/05/2024
Full time
Senior Software Engineer Join the Impact: We are delighted to be working exclusively with a client who is seeking a passionate software engineer who thrives on the transformative power of Data and AI. As a Senior Full Stack Engineer, you'll shape product development, tackle individual projects, engage with customers to solve real-world business challenges, and guide junior Engineers. Be part of their dynamic journey! What you'll do: Lead data analytics solution delivery and manage product roadmaps. Define, apply, and monitor software development best practices. Line management of engineering team members. Mentor and train junior staff. Design user-friendly interfaces and write efficient code. Collaborate with clients to understand data requirements. Manage and integrate customer and third-party data. Develop efficient database schema and architect solutions. Review colleagues' code and contribute to technical reports. Stay up to date with technology and support clients. What you'll have: Keen Interest in Technology: Actively seeks to expand technical knowledge. Technical Proficiency: Understands fundamental data structures, algorithm design, and problem-solving. Proactive and Innovative: Encourages continuous improvement. Thrives in a dynamic environment. Customer-Centric: Empathetic toward customer needs. Effective Communication Independent Problem Solver Leadership Qualities What you'll need: Web Application Frameworks: Proficient in modern single-page web application frameworks (JavaScript/TypeScript, HTML/CSS), ideally Angular. UX/UI Design: Experience with UX/UI design and design tools. Backend Development: Python and SQL. Database Skills: Understanding of database design and operation. Software Development Practices: Knowledge of cloud-native architectures, continuous integration, deployment, automated testing, and iterative product development. Methodologies: Expertise in Agile/SCRUM software development methodologies. Leadership and Collaboration: Experience mentoring and line managing engineers. Collaborative software development using version control (preferably GIT) What you'll get in return: Annual Leave: 35 days (including public holidays). Flexible Working: Core hours' flexibility. Financial Benefits: Competitive salary. Pension scheme. Private health insurance. Gym membership contribution. Professional Development: Opportunities for courses, books, exams, and conferences. Social and Recognition: Weekly knowledge sharing presentations. Regular company outings. Monthly staff acknowledgements and celebrations 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 Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Global Technology Solutions Ltd
Reading, Berkshire
Job Title: SC Cleared On Prem AD/Azure support specialist Location: Aldermaston, Reading. Potential hybrid agreements Salary: £56,525p/a Working hours: standard office hours British national only, this is due to the nature of the work and the clearances required. We are looking for customer-focused and enthusiastic Azure and Active Directory Specialist to join the company. You should have a genuine interest in solving IT issues and empathetic to customer needs and requirements. Day to day tasks include expert management and troubleshooting of Azure, Dev environments and Active Directory services and issues within a complex locked down System structure. You should possess good written and verbal communication skills, be willing to collaborate with the wider IT support teams and help us develop a strong partnership with our customers' IT Leadership. The successful candidate will be responsible in supporting a strategic change to the service model and implementing design documents and processes along with new statements of work. This will require working closely with the Operations Manager and Account Project Lead to define and implement a more agile and collaborative structure which is capable of blending BAU support with short term projects and ad-hoc requests, where scoped and agreed. This will be achieved by following Agile and ITIL Continuous Service Improvement methodologies. ESSENTIALS SKILLS/QUALIFICATIONS: * 5 years plus Azure Active Directory experience (Essential) * Working Knowledge and implementation experience of Azure Dev Ops and Dev Test Labs * Azure Virtual Desktop knowledge and implementation experience (Nerdio) * Azure Cloud Infrastructure Knowledge * Infrastructure as a Code (knowledge and implementation experience) (IaC) * CI/CD pipelines knowledge and understanding * ARM templates/Bicep (knowledge and implementation experience) * Microsoft Tiered Model Knowledge and how this impacts different tiered environments * Azure Role & Functional based Security Delegation and Layers and Role Based Access Control * Azure Networking Experience * Azure Firewalls Experience * Azure Security including Conditional Access Policies and Multi Factor Authentication and Privileged Identity Management * Azure Virtual Machine Management * Azure Storage Experience * Azure Monitoring and log analytics * Azure Enterprise and ADFS Application Provisioning * Active Directory Connect/sync and Active Directory Federation Services * Azure PowerShell Scripting * Microsoft Windows Server 2016, 2019 and 2022 experience * Comfortable working with a Hybrid Joined Active Directory environment * Group Policy Management and Conditional Access Policy Management Experience * DNS, DHCP Experience * Working knowledge and understand of PKI Services * Scripting experience using BAT, PowerShell, C# and VB Scripts * Awareness of Change and Release Management * Strong communication skills both written and verbal * Self-motivated with a positive attitude and comfortable working with ambiguity * Create Operational guides and High-Level/Low-Level Designs * Good knowledge of MS Endpoint Management * Good knowledge of Office 365 and Exchange Online DESIRABLE SKILLS/QUALIFICATIONS: * Infrastructure Support experience/background inc patching, backups and restores, Windows/Linux * AD Sync and AD Connect Experience beneficial * Azure Containers * Azure Kubernetes * Azure Endpoint Management/Intune * Good knowledge across SCCM; WSUS; SCOM 2019; AGPM; Lumensions. * ITIL Foundation certified with a broad experience across Service Management disciplines and Agile delivery Benefits: * Development through Training/Certification * Put through DV clearance (including tax allowance) * potential hybrid working (home and onsite) * Joining a strong team with a wealth of knowledge and experience If you have the skill required, apply now! "In applying for this position, you consent to your personal data being shared with the specified employer and for your details to remain with GTS for as long as is necessary to process your application. See our Privacy Notice for full information Global Technology Solutions is acting as an Employment Agency in relation to this vacancy.
14/05/2024
Full time
Job Title: SC Cleared On Prem AD/Azure support specialist Location: Aldermaston, Reading. Potential hybrid agreements Salary: £56,525p/a Working hours: standard office hours British national only, this is due to the nature of the work and the clearances required. We are looking for customer-focused and enthusiastic Azure and Active Directory Specialist to join the company. You should have a genuine interest in solving IT issues and empathetic to customer needs and requirements. Day to day tasks include expert management and troubleshooting of Azure, Dev environments and Active Directory services and issues within a complex locked down System structure. You should possess good written and verbal communication skills, be willing to collaborate with the wider IT support teams and help us develop a strong partnership with our customers' IT Leadership. The successful candidate will be responsible in supporting a strategic change to the service model and implementing design documents and processes along with new statements of work. This will require working closely with the Operations Manager and Account Project Lead to define and implement a more agile and collaborative structure which is capable of blending BAU support with short term projects and ad-hoc requests, where scoped and agreed. This will be achieved by following Agile and ITIL Continuous Service Improvement methodologies. ESSENTIALS SKILLS/QUALIFICATIONS: * 5 years plus Azure Active Directory experience (Essential) * Working Knowledge and implementation experience of Azure Dev Ops and Dev Test Labs * Azure Virtual Desktop knowledge and implementation experience (Nerdio) * Azure Cloud Infrastructure Knowledge * Infrastructure as a Code (knowledge and implementation experience) (IaC) * CI/CD pipelines knowledge and understanding * ARM templates/Bicep (knowledge and implementation experience) * Microsoft Tiered Model Knowledge and how this impacts different tiered environments * Azure Role & Functional based Security Delegation and Layers and Role Based Access Control * Azure Networking Experience * Azure Firewalls Experience * Azure Security including Conditional Access Policies and Multi Factor Authentication and Privileged Identity Management * Azure Virtual Machine Management * Azure Storage Experience * Azure Monitoring and log analytics * Azure Enterprise and ADFS Application Provisioning * Active Directory Connect/sync and Active Directory Federation Services * Azure PowerShell Scripting * Microsoft Windows Server 2016, 2019 and 2022 experience * Comfortable working with a Hybrid Joined Active Directory environment * Group Policy Management and Conditional Access Policy Management Experience * DNS, DHCP Experience * Working knowledge and understand of PKI Services * Scripting experience using BAT, PowerShell, C# and VB Scripts * Awareness of Change and Release Management * Strong communication skills both written and verbal * Self-motivated with a positive attitude and comfortable working with ambiguity * Create Operational guides and High-Level/Low-Level Designs * Good knowledge of MS Endpoint Management * Good knowledge of Office 365 and Exchange Online DESIRABLE SKILLS/QUALIFICATIONS: * Infrastructure Support experience/background inc patching, backups and restores, Windows/Linux * AD Sync and AD Connect Experience beneficial * Azure Containers * Azure Kubernetes * Azure Endpoint Management/Intune * Good knowledge across SCCM; WSUS; SCOM 2019; AGPM; Lumensions. * ITIL Foundation certified with a broad experience across Service Management disciplines and Agile delivery Benefits: * Development through Training/Certification * Put through DV clearance (including tax allowance) * potential hybrid working (home and onsite) * Joining a strong team with a wealth of knowledge and experience If you have the skill required, apply now! "In applying for this position, you consent to your personal data being shared with the specified employer and for your details to remain with GTS for as long as is necessary to process your application. See our Privacy Notice for full information Global Technology Solutions is acting as an Employment Agency in relation to this vacancy.
Job: Dynamics 365/Power Platform Specialist Salary: £70k Job Type: 6 Month Fixed Term Contract (with the likelihood to extend beyond) Job Location: Leeds Workplace Type: Hybrid (3 days in office) Estimated Start Date: ASAP Utilize expertise in Dynamics, Power Platform, and Integration across all business sectors to ensure optimal utilization of the chosen tools and delivery of solutions in alignment with industry standards. Design and create new solutions that meet business needs, integrating with Microsoft technologies such as Power Platform, Teams, Dataverse, Dynamics 365, SharePoint, and third-party SaaS applications. Maintain and support existing Dynamics 365, Power Platform, and integration systems along with associated information databases. Share knowledge, experience, and documentation across development and broader IT teams. Serve as an escalation and decision point for Dynamics 365, Power Platform, and Integration issues, ensuring thorough evaluation and resolution of risks, issues, and decisions. Develop comprehensive process guides and technical documentation for all applications and solutions. Provide training and educational materials for business users. Offer subject matter expertise in design assurance and technical authority forums to ensure consideration of all delivery options and prevent unnecessary manual processes, duplication, and costs. Research and assess emerging technologies and methodologies to propose potential solutions and enhancements to existing processes and systems. Foster productive relationships with key internal stakeholders and external suppliers. Utilize subject matter expertise to integrate, transform, and consolidate data from diverse structured, unstructured, and streaming data systems into appropriate schemas for analytics solutions. Assist stakeholders in comprehending data through exploration and develop secure, compliant data processing pipelines using a variety of tools and methods. Leverage Azure data services and frameworks to store and generate refined datasets for analysis, with the flexibility to adopt different architecture patterns such as Modern Data Warehouse (MDW), Big Data, and Lakehouse Architecture. Ensure the operationalization of data pipelines and stores meet high-performance, efficiency, organization, and reliability standards, aligned with business requirements and constraints. Identify and resolve operational and data quality issues, and design, implement, monitor, and optimize data platforms to support data pipelines. Requirements: Technical: Proficient in Microsoft Dynamics and Power Platform development. Advanced knowledge of Azure Integration Services products. Familiarity with Mambu SaaS cloud banking platform. Ability to translate operational requirements into effective solutions. Strong problem-solving skills and ability to communicate solutions in a business context. Influencing skills to drive business outcomes. Experience in structured change delivery and planning. Detail-oriented with a commitment to delivering excellent service. Leadership abilities to guide developers and users in automation technologies. Capacity to provide strategic, scalable solutions aligned with business needs. Proficiency in data processing languages, including SQL, Python, and Scala. Understanding of parallel processing and data architecture patterns. Experience with Azure Data Factory, Azure Synapse Analytics, Azure Stream Analytics, Azure Event Hubs, Azure Data Lake Storage, and Azure Databricks. Desirable: Microsoft Dynamics and Power Platform accreditations. Microsoft Azure accreditations. Familiarity with Workday configuration. Experience with modelling tools such as EA Sparx, BizzDesign, ErWin. About FDM Our people are our passion and that's why we make your training and career growth our priority. We are a global professional services provider focusing on IT and one of the UK's leading graduate employers, recruiting the brightest talent to become the innovators of tomorrow. With centres across Europe, North America and Asia-Pacific, and nearly 5000 consultants currently placed on client site around the world, FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning FTSE 250 employer. Diversity and Inclusion FDM Group is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.
14/05/2024
Job: Dynamics 365/Power Platform Specialist Salary: £70k Job Type: 6 Month Fixed Term Contract (with the likelihood to extend beyond) Job Location: Leeds Workplace Type: Hybrid (3 days in office) Estimated Start Date: ASAP Utilize expertise in Dynamics, Power Platform, and Integration across all business sectors to ensure optimal utilization of the chosen tools and delivery of solutions in alignment with industry standards. Design and create new solutions that meet business needs, integrating with Microsoft technologies such as Power Platform, Teams, Dataverse, Dynamics 365, SharePoint, and third-party SaaS applications. Maintain and support existing Dynamics 365, Power Platform, and integration systems along with associated information databases. Share knowledge, experience, and documentation across development and broader IT teams. Serve as an escalation and decision point for Dynamics 365, Power Platform, and Integration issues, ensuring thorough evaluation and resolution of risks, issues, and decisions. Develop comprehensive process guides and technical documentation for all applications and solutions. Provide training and educational materials for business users. Offer subject matter expertise in design assurance and technical authority forums to ensure consideration of all delivery options and prevent unnecessary manual processes, duplication, and costs. Research and assess emerging technologies and methodologies to propose potential solutions and enhancements to existing processes and systems. Foster productive relationships with key internal stakeholders and external suppliers. Utilize subject matter expertise to integrate, transform, and consolidate data from diverse structured, unstructured, and streaming data systems into appropriate schemas for analytics solutions. Assist stakeholders in comprehending data through exploration and develop secure, compliant data processing pipelines using a variety of tools and methods. Leverage Azure data services and frameworks to store and generate refined datasets for analysis, with the flexibility to adopt different architecture patterns such as Modern Data Warehouse (MDW), Big Data, and Lakehouse Architecture. Ensure the operationalization of data pipelines and stores meet high-performance, efficiency, organization, and reliability standards, aligned with business requirements and constraints. Identify and resolve operational and data quality issues, and design, implement, monitor, and optimize data platforms to support data pipelines. Requirements: Technical: Proficient in Microsoft Dynamics and Power Platform development. Advanced knowledge of Azure Integration Services products. Familiarity with Mambu SaaS cloud banking platform. Ability to translate operational requirements into effective solutions. Strong problem-solving skills and ability to communicate solutions in a business context. Influencing skills to drive business outcomes. Experience in structured change delivery and planning. Detail-oriented with a commitment to delivering excellent service. Leadership abilities to guide developers and users in automation technologies. Capacity to provide strategic, scalable solutions aligned with business needs. Proficiency in data processing languages, including SQL, Python, and Scala. Understanding of parallel processing and data architecture patterns. Experience with Azure Data Factory, Azure Synapse Analytics, Azure Stream Analytics, Azure Event Hubs, Azure Data Lake Storage, and Azure Databricks. Desirable: Microsoft Dynamics and Power Platform accreditations. Microsoft Azure accreditations. Familiarity with Workday configuration. Experience with modelling tools such as EA Sparx, BizzDesign, ErWin. About FDM Our people are our passion and that's why we make your training and career growth our priority. We are a global professional services provider focusing on IT and one of the UK's leading graduate employers, recruiting the brightest talent to become the innovators of tomorrow. With centres across Europe, North America and Asia-Pacific, and nearly 5000 consultants currently placed on client site around the world, FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning FTSE 250 employer. Diversity and Inclusion FDM Group is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.
We are currently looking on behalf of one of our important clients for a Data Analytics Architect. This role is permanent position based in Bern Canton & comes with good home office allowance. Your Role: Hold responsibility for & develop a data model & ensure comprehensible documentation for the team. Stay well informed on new trends in the data environment & analyze all possibilities with regards to feasibility & relevance. Work on various BI projects with a MicroStrategy solution & advise specialist departments. Partake in overarching projects & strategically develop services. Support a data analytics team & the departments with data expertise & promote data literacy. Your Skills: At least 3 years of relevant professional experience in Data Analytics. An excellent understanding of Datamodelling & Data Quality. Well accustomed in the areas of BI & ETL/ELT. Skilled in quickly becoming familiarized with new topics. Your Profile: Completed University Degree in the fields of Business Informatics, Business Administration, Computer Science or Similar. Consistently enthusiastic to learn & further develop. Motivated, Collaborative & a team-player. Fluent English & German language skills (both to at least C1 level) are absolutely mandatory,. please only apply if this applies to you
13/05/2024
Full time
We are currently looking on behalf of one of our important clients for a Data Analytics Architect. This role is permanent position based in Bern Canton & comes with good home office allowance. Your Role: Hold responsibility for & develop a data model & ensure comprehensible documentation for the team. Stay well informed on new trends in the data environment & analyze all possibilities with regards to feasibility & relevance. Work on various BI projects with a MicroStrategy solution & advise specialist departments. Partake in overarching projects & strategically develop services. Support a data analytics team & the departments with data expertise & promote data literacy. Your Skills: At least 3 years of relevant professional experience in Data Analytics. An excellent understanding of Datamodelling & Data Quality. Well accustomed in the areas of BI & ETL/ELT. Skilled in quickly becoming familiarized with new topics. Your Profile: Completed University Degree in the fields of Business Informatics, Business Administration, Computer Science or Similar. Consistently enthusiastic to learn & further develop. Motivated, Collaborative & a team-player. Fluent English & German language skills (both to at least C1 level) are absolutely mandatory,. please only apply if this applies to you
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Do you have a passion for search engine optimisation, customer management and a strong ability for driving organic traffic If so this may be a position below for you! We are partnered with a dynamic data driven company looking for talented SEO Professional. In this company you will play a vital role in developing and implementing winning SEO strategies for multiple client accounts of varying size. You will work across various elements of technical SEO, which include local SEO and E-commerce SEO using different tools but also be confident in your approach to manage and retain customers too. In this role you will be supported by a wider team of content/copy professionals and also working alongside the Paid Media team. The business is very proud of their teams and you will be joining a business constantly on the road to success. This will be a permanent full time role, with hybrid working role which is commutable from areas of the North West, such as St Helens, Liverpool, Wigan and Warrington. Day to day: Develop and execute comprehensive SEO strategies for a variety of clients across different industries. Conduct in-depth keyword research and competitive analysis to identify high-potential opportunities. Optimize website content, on-page elements, and technical SEO factors to improve search engine ranking. Build high-quality backlinks through effective link-building strategies. Monitor website traffic, analyse SEO performance metrics, and report on results to clients. Stay up-to-date with the latest SEO trends and algorithm updates. Collaborate with content creators, web developers, and other team members to ensure a holistic SEO approach. Identify and recommend SEO tools and software to streamline processes. Prepare proposals and presentations for potential clients. Manage relationships with key clients and new customers. What you'll bring: Experience as an SEO Executive/Manager or similar either agency side or inhouse. Proven track record of success in increasing organic website traffic and search engine rankings. Strong understanding of SEO best practices and principles, including on-page optimization, technical SEO, and link building. Expertise in tools which could include Ahrefs, SEMrush, Google Search Console, Screaming Frog, Majestic and Surfer SEO. Excellent writing and communication skills, with the ability to explain complex SEO concepts to customer base. Analytics skills and a data-driven approach to problem-solving. Excellent organisational skills and a meticulous attention to detail. Passion for the digital marketing industry and a willingness to stay ahead of the curve. Ability to work effectively within a team environment. Please apply using the link below to be considered for this role.
10/05/2024
Full time
Do you have a passion for search engine optimisation, customer management and a strong ability for driving organic traffic If so this may be a position below for you! We are partnered with a dynamic data driven company looking for talented SEO Professional. In this company you will play a vital role in developing and implementing winning SEO strategies for multiple client accounts of varying size. You will work across various elements of technical SEO, which include local SEO and E-commerce SEO using different tools but also be confident in your approach to manage and retain customers too. In this role you will be supported by a wider team of content/copy professionals and also working alongside the Paid Media team. The business is very proud of their teams and you will be joining a business constantly on the road to success. This will be a permanent full time role, with hybrid working role which is commutable from areas of the North West, such as St Helens, Liverpool, Wigan and Warrington. Day to day: Develop and execute comprehensive SEO strategies for a variety of clients across different industries. Conduct in-depth keyword research and competitive analysis to identify high-potential opportunities. Optimize website content, on-page elements, and technical SEO factors to improve search engine ranking. Build high-quality backlinks through effective link-building strategies. Monitor website traffic, analyse SEO performance metrics, and report on results to clients. Stay up-to-date with the latest SEO trends and algorithm updates. Collaborate with content creators, web developers, and other team members to ensure a holistic SEO approach. Identify and recommend SEO tools and software to streamline processes. Prepare proposals and presentations for potential clients. Manage relationships with key clients and new customers. What you'll bring: Experience as an SEO Executive/Manager or similar either agency side or inhouse. Proven track record of success in increasing organic website traffic and search engine rankings. Strong understanding of SEO best practices and principles, including on-page optimization, technical SEO, and link building. Expertise in tools which could include Ahrefs, SEMrush, Google Search Console, Screaming Frog, Majestic and Surfer SEO. Excellent writing and communication skills, with the ability to explain complex SEO concepts to customer base. Analytics skills and a data-driven approach to problem-solving. Excellent organisational skills and a meticulous attention to detail. Passion for the digital marketing industry and a willingness to stay ahead of the curve. Ability to work effectively within a team environment. Please apply using the link below to be considered for this role.
*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 M365 Platform Manager. This manager will have a heavy focus with MS Teams. The team is seeking at least three to four years' experience in MS Teams that includes audio/visual conferencing, analytics, Team Premium, and MT SME. Also will need experience with SharePoint Online, OneDrive, OneNote, Planner Streams, PowerShell, etc. They will manage a team of consultants and focus on policies, compliance, change management, etc. Responsibilities: Provide leadership in establishing robust M365 service administration protocols Administers M365 collaboration tools, including SharePoint Online, MS Teams, OneNote, OneDrive, Streams, Planner, Viva Engage, etc Continually develops the processes and policies for provisioning Forms a community with the Global Assistant Director of M365 Platform, the Cloud Architect, the Enterprise Application Architect (and with others as needed) to provide collective oversight of the M365 ecosystem Promotes optimal useability of M365 services Monitors Microsoft's roadmap for upgrades to M365 services and establishes the mechanisms by which we share relevant changes with our people Works with the office of the Director of Information Governance in ensuring content management policies for M365 are in compliance and updated as business needs evolve Works closely with the Security team, prioritizing safety of the firm's systems and content Identifies potential points of integration between M365 services on the core device-top and works with technical colleagues to deliver key integrations Promotes use of the data available via the Microsoft admin portal to identify areas of untapped benefit, and to foster our continuing path towards a data-driven organization Provides level three support for functional requests relating to M365 collaboration services Develop and/or lead change management efforts across all phases of projects and initiatives to drive the Firm's culture of continuous improvement Ensures vendors provide proper levels of support, maintain SLA's, and provide root cause analysis for escalated issues Ensures all team, departmental and firm policies and procedures are adhered to, including technical change management and service continuity Completes all administrative tasks, ie, (time tracking, project and task updates, trouble ticket notes, status reports, responding to email, etc.) accurately and on time Qualifications Bachelor's degree in Computer Science or a related field. 5+ years of M365 product experience Prior experience in M365, specifically MS Teams and SharePoint Online administration, and guiding their use within an organization In depth knowledge of SharePoint Online and Microsoft Teams is required Holistic knowledge of the M365 Suite is required Knowledge of Intapp Workspaces is helpful PowerShell Scripting Proven change management skills M365 certification, such as MS Teams Specialist, SPO Admin and or Development
09/05/2024
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 M365 Platform Manager. This manager will have a heavy focus with MS Teams. The team is seeking at least three to four years' experience in MS Teams that includes audio/visual conferencing, analytics, Team Premium, and MT SME. Also will need experience with SharePoint Online, OneDrive, OneNote, Planner Streams, PowerShell, etc. They will manage a team of consultants and focus on policies, compliance, change management, etc. Responsibilities: Provide leadership in establishing robust M365 service administration protocols Administers M365 collaboration tools, including SharePoint Online, MS Teams, OneNote, OneDrive, Streams, Planner, Viva Engage, etc Continually develops the processes and policies for provisioning Forms a community with the Global Assistant Director of M365 Platform, the Cloud Architect, the Enterprise Application Architect (and with others as needed) to provide collective oversight of the M365 ecosystem Promotes optimal useability of M365 services Monitors Microsoft's roadmap for upgrades to M365 services and establishes the mechanisms by which we share relevant changes with our people Works with the office of the Director of Information Governance in ensuring content management policies for M365 are in compliance and updated as business needs evolve Works closely with the Security team, prioritizing safety of the firm's systems and content Identifies potential points of integration between M365 services on the core device-top and works with technical colleagues to deliver key integrations Promotes use of the data available via the Microsoft admin portal to identify areas of untapped benefit, and to foster our continuing path towards a data-driven organization Provides level three support for functional requests relating to M365 collaboration services Develop and/or lead change management efforts across all phases of projects and initiatives to drive the Firm's culture of continuous improvement Ensures vendors provide proper levels of support, maintain SLA's, and provide root cause analysis for escalated issues Ensures all team, departmental and firm policies and procedures are adhered to, including technical change management and service continuity Completes all administrative tasks, ie, (time tracking, project and task updates, trouble ticket notes, status reports, responding to email, etc.) accurately and on time Qualifications Bachelor's degree in Computer Science or a related field. 5+ years of M365 product experience Prior experience in M365, specifically MS Teams and SharePoint Online administration, and guiding their use within an organization In depth knowledge of SharePoint Online and Microsoft Teams is required Holistic knowledge of the M365 Suite is required Knowledge of Intapp Workspaces is helpful PowerShell Scripting Proven change management skills M365 certification, such as MS Teams Specialist, SPO Admin and or Development