Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
We have an exciting opportunity to join a leading System Integrator and Professional Services Consulting firm working in the Microsoft Applications and Cloud Engineering team. Your role as a Microsoft Dynamics 365 FinOps Architectwill be to help to grow pre-sales drive growth across Microsoft Dynamics 365, Power Platform and Microsoft Azure. You will form part of a team that helps to shape future projects and client engagements by identifying new opportunities for Dynamics 365 Finance and Operations implementations. The Microsoft Dynamics 365 FinOps Architectwill be working with people ranging in experience, from early and emerging talent to specialists. Our clients are looking for bright people with a passion for Microsoft technology and the benefits it brings to our clients. And someone who has a consultative nature that can help customers on their journey to adopting Dynamics 365 Finance and Operations. The Microsoft Dynamics 365 FinOps Architect will benefit from training and development and have a customer base of clients across multiple industries (Retail, Utilities, Manufacturing, Transport and Health). The Microsoft Dynamics 365 FinOps Architectrole is pre-sales/early delivery focused, working directly with sales and delivery colleagues. This role will include Identify business opportunities within existing clients and build a portfolio of new customers. Building sales content and work with sales and marketing teams to highlight the practices capabilities in Dynamics 365 Finance and Operations and the business value and benefits organisations can achieve from using it. Preparing and deliver demos and POCs to technical and non-technical stakeholders, including c-suite. Acting as solution lead on sales engagements and set architecture best practices and processes as well as high-level and low-level solution design of end-to-end Dynamics 365 FinOps projects. Supporting estimation and planning for bid responses, and be a trusted advisor for colleagues and client stakeholders, building strong relationships and customer trust. The Microsoft Dynamics 365 FinOps Architect should demonstrate the following experience and capabilities Energy and excitement about the technologies and capabilities provided by Dynamics 365 and the Power Platform with great drive engagement and adoption, consulting and leadership skills to form strong and lasting relationships with clients and colleagues and to drive growth. Full implementation life cycle experience of ERP based programmes within Microsoft Dynamics 365 and the Power Platform, with knowledge of software engineering best practices and limitation with Dynamics 365 FinOps as well as Microsoft Dynamics CRM SDK, X , C#, Visual Studio and Team Foundation Server. Advise on Continuous Integration (CI) and Continuous Delivery (CD) options available to Dynamics 365 FinOps projects. Working knowledge of Microsoft Dynamics 365 CE, Power Platform and Azure to enable a best fit approach to every solution. A passion for delivering according to an agile methodology, planning projects and releases following scrum. There is a hybrid working model with good WFH opportunities, however the Microsoft Dynamics 365 FinOps Architect should be flexible and UK mobile but can live anywhere in the UK . Any required travel will be expensed. The Microsoft Dynamics 365 FinOps Architectmust have full rights to work in the UK without requiring work permit sponsorship and should also be eligible for Security clearance applications, this means we require British/dual nationals with no travel outside of the UK for over 28 consecutive days over the past 5 years period. If you are unsure on this please apply and we can discuss further. If you have read this far and you have some of the skills required, please send your CV and lets talk!
17/05/2024
Full time
We have an exciting opportunity to join a leading System Integrator and Professional Services Consulting firm working in the Microsoft Applications and Cloud Engineering team. Your role as a Microsoft Dynamics 365 FinOps Architectwill be to help to grow pre-sales drive growth across Microsoft Dynamics 365, Power Platform and Microsoft Azure. You will form part of a team that helps to shape future projects and client engagements by identifying new opportunities for Dynamics 365 Finance and Operations implementations. The Microsoft Dynamics 365 FinOps Architectwill be working with people ranging in experience, from early and emerging talent to specialists. Our clients are looking for bright people with a passion for Microsoft technology and the benefits it brings to our clients. And someone who has a consultative nature that can help customers on their journey to adopting Dynamics 365 Finance and Operations. The Microsoft Dynamics 365 FinOps Architect will benefit from training and development and have a customer base of clients across multiple industries (Retail, Utilities, Manufacturing, Transport and Health). The Microsoft Dynamics 365 FinOps Architectrole is pre-sales/early delivery focused, working directly with sales and delivery colleagues. This role will include Identify business opportunities within existing clients and build a portfolio of new customers. Building sales content and work with sales and marketing teams to highlight the practices capabilities in Dynamics 365 Finance and Operations and the business value and benefits organisations can achieve from using it. Preparing and deliver demos and POCs to technical and non-technical stakeholders, including c-suite. Acting as solution lead on sales engagements and set architecture best practices and processes as well as high-level and low-level solution design of end-to-end Dynamics 365 FinOps projects. Supporting estimation and planning for bid responses, and be a trusted advisor for colleagues and client stakeholders, building strong relationships and customer trust. The Microsoft Dynamics 365 FinOps Architect should demonstrate the following experience and capabilities Energy and excitement about the technologies and capabilities provided by Dynamics 365 and the Power Platform with great drive engagement and adoption, consulting and leadership skills to form strong and lasting relationships with clients and colleagues and to drive growth. Full implementation life cycle experience of ERP based programmes within Microsoft Dynamics 365 and the Power Platform, with knowledge of software engineering best practices and limitation with Dynamics 365 FinOps as well as Microsoft Dynamics CRM SDK, X , C#, Visual Studio and Team Foundation Server. Advise on Continuous Integration (CI) and Continuous Delivery (CD) options available to Dynamics 365 FinOps projects. Working knowledge of Microsoft Dynamics 365 CE, Power Platform and Azure to enable a best fit approach to every solution. A passion for delivering according to an agile methodology, planning projects and releases following scrum. There is a hybrid working model with good WFH opportunities, however the Microsoft Dynamics 365 FinOps Architect should be flexible and UK mobile but can live anywhere in the UK . Any required travel will be expensed. The Microsoft Dynamics 365 FinOps Architectmust have full rights to work in the UK without requiring work permit sponsorship and should also be eligible for Security clearance applications, this means we require British/dual nationals with no travel outside of the UK for over 28 consecutive days over the past 5 years period. If you are unsure on this please apply and we can discuss further. If you have read this far and you have some of the skills required, please send your CV and lets talk!
Global Technology Solutions Ltd
Southampton, Hampshire
Professional Services Resource Manager Southampton - Hybrid. 2-3 day per week onsite Permanent salary £45,000 - £50,000 Role Purpose: Your role as a Professional Services Resource Manager is to work in partnership with our customers and project management office to manage, schedule and deliver professional services to the customer base. The PS Resource Manager is responsible for planning and coordinating the professional service resources needs to function effectively. They will work with multiple teams, from consultants to Managed Services Specialists to the project management office. Qualifications, Experience, Knowledge and Skills: Essential 1. The ability to forecast the resource requirements for the entire department. 2. The Professional Services Resource Manager will often work on multiple projects at once, so it's important to be able to manage their time effectively. To meet deadlines and complete work on time. 3. Excellent communication skills to communicate with clients and other stakeholders for the successful delivery of project-related tasks. 4. Successful proven track record in the delivery of technical projects to customers 5. Minimum of 24 month's work experience in a similar role in a managed service provider environment 6. A demonstrable experience in working with multiple technologies within a Managed Service Provider 7. Excellent computing and technical skills 8. Exceptional coordination and planning skills 9. Be able to acquire new knowledge and skills quickly and apply them to business situations 10. Excellent interpersonal, communication, negotiation, and presentation skills 11. Knowledge and experience of Microsoft-based solutions Desirable 1. Degree-level education or equivalent experience 2. Recognised project management qualification, eg, PRINCE2, MSP, APMP 3. Demonstrable experience in Service introduction and 'Go to Market' processes 4. Experience in an IT, Cloud or service-related industry Responsibilities: 1. Deliver a high team performance level. Accountable for effective people management to ensure a high level of team morale, timely customer incident management and consistent achievement of operational targets including KPIs, SLA and OLAs. 2. Responsible for managing all direct reports through PDP program and regular 1:1's, identifying training needs, and performance improvements and ensuring all training is completed in line with an individual's PDP. 3. Onboard new resources and provide orientation to company policies and procedures. 4. Monitor resource utilisation and performance levels and take corrective action as necessary. 5. Completing and creating detailed plans for resource management 6. Managing employees to ensure that all workers are using current procedures and equipment. 7. Working with clients to schedule projects, including providing updates throughout the process. 8. Monitoring project revenues, identifying potential cost overruns, and creating contingency plans to prevent spending overruns. 9. Coordinating with the procurement team and partners to schedule deliveries of materials needed for projects. 10. Scheduling the professional services engineers for projects 11. Ensuring that all materials arrive on schedule and are in good condition. 12. Reviewing project plans to ensure that they meet delivery standards and other requirements. 13. Maintaining inventory records of all materials required for projects. 14. Keep up to date with best practices in our key products and suggest and recommend changes to the business and processes to improve the performance of a customer's IT service. 15. Proactively assisting with recommendations and delivery of solutions to its customers maximising customer satisfaction and revenue growth. 16. Keep up to date with best practices in the key service solutions. Suggest and recommend changes to the business and processes to improve the performance of products and Managed Services. 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.
16/05/2024
Full time
Professional Services Resource Manager Southampton - Hybrid. 2-3 day per week onsite Permanent salary £45,000 - £50,000 Role Purpose: Your role as a Professional Services Resource Manager is to work in partnership with our customers and project management office to manage, schedule and deliver professional services to the customer base. The PS Resource Manager is responsible for planning and coordinating the professional service resources needs to function effectively. They will work with multiple teams, from consultants to Managed Services Specialists to the project management office. Qualifications, Experience, Knowledge and Skills: Essential 1. The ability to forecast the resource requirements for the entire department. 2. The Professional Services Resource Manager will often work on multiple projects at once, so it's important to be able to manage their time effectively. To meet deadlines and complete work on time. 3. Excellent communication skills to communicate with clients and other stakeholders for the successful delivery of project-related tasks. 4. Successful proven track record in the delivery of technical projects to customers 5. Minimum of 24 month's work experience in a similar role in a managed service provider environment 6. A demonstrable experience in working with multiple technologies within a Managed Service Provider 7. Excellent computing and technical skills 8. Exceptional coordination and planning skills 9. Be able to acquire new knowledge and skills quickly and apply them to business situations 10. Excellent interpersonal, communication, negotiation, and presentation skills 11. Knowledge and experience of Microsoft-based solutions Desirable 1. Degree-level education or equivalent experience 2. Recognised project management qualification, eg, PRINCE2, MSP, APMP 3. Demonstrable experience in Service introduction and 'Go to Market' processes 4. Experience in an IT, Cloud or service-related industry Responsibilities: 1. Deliver a high team performance level. Accountable for effective people management to ensure a high level of team morale, timely customer incident management and consistent achievement of operational targets including KPIs, SLA and OLAs. 2. Responsible for managing all direct reports through PDP program and regular 1:1's, identifying training needs, and performance improvements and ensuring all training is completed in line with an individual's PDP. 3. Onboard new resources and provide orientation to company policies and procedures. 4. Monitor resource utilisation and performance levels and take corrective action as necessary. 5. Completing and creating detailed plans for resource management 6. Managing employees to ensure that all workers are using current procedures and equipment. 7. Working with clients to schedule projects, including providing updates throughout the process. 8. Monitoring project revenues, identifying potential cost overruns, and creating contingency plans to prevent spending overruns. 9. Coordinating with the procurement team and partners to schedule deliveries of materials needed for projects. 10. Scheduling the professional services engineers for projects 11. Ensuring that all materials arrive on schedule and are in good condition. 12. Reviewing project plans to ensure that they meet delivery standards and other requirements. 13. Maintaining inventory records of all materials required for projects. 14. Keep up to date with best practices in our key products and suggest and recommend changes to the business and processes to improve the performance of a customer's IT service. 15. Proactively assisting with recommendations and delivery of solutions to its customers maximising customer satisfaction and revenue growth. 16. Keep up to date with best practices in the key service solutions. Suggest and recommend changes to the business and processes to improve the performance of products and Managed Services. 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.
Global Technology Solutions Ltd
Edinburgh, Midlothian
Job Title: Infrastructure Support Engineer III - Red Hat Linux enterprise support Contract length: 3-months Day rate: £340 inside ir35 through umbrella Location: Edinburgh *Must be holding SC Clearance* Site hours are: 07:00 - 16:30 Mon-Thurs and 07:00 - 13:30 Fri - hours to be agreed ROLE OVERVIEW: We are looking for customer-focused and enthusiastic 3rd line infrastructure Support Engineer with a genuine interest in solving peoples IT issues to backfill our Business As Usual services while some of our key staff support a critical project. The applicant should be technically competent, possess good written and verbal communication skills and be willing to collaborate with the wider IT support teams. The 3rd line team are expected to resolve a wide variety of server and storage incidents and requests, while minimizing disruption to our users. We're looking for someone to be responsible for our Red Hat Linux environments. Solaris experience would be beneficial. The successful candidate will be someone who can blend first rate customer service with first rate technical skills. Previous experience resolving 3rd line issues in an enterprise environment is essential. DETAILED JOB DESCRIPTION: * Excellent knowledge of Red Hat Linux Enterprise (v4 upwards), including installation, configuration and imaging * Excellent knowledge of Red Hat Network Satellite for system management and performance reporting * Provide support for L2 and L3 Operational activities & troubleshooting * Able to stabilise developed infrastructure solutions using Red Hat methodologies in complex customer environments * Demonstrate the ability to methodically work through issues * Must be able to deal directly with clients in a friendly and highly confident manner demonstrating excellent internal and external customer communication skills * Achieve high levels of customer satisfaction * Author processes and working instructions * Work within challenging SLA's and follow escalation paths to the leadership team and product specialists promptly when required * Represent the 3rd line team from a Linux perspective in customer meetings * Red Hat Certified Engineer or other Red Hat/Linux related certification * To manage a range of Linux technology's RHLE, RHNS, Kernel virtualisation (KVM) and to include optimisation, interoperability, and availability of systems on a customer's site * Utilisation of RHNS for compliance management, provisioning of services and resources, content control and system security and integrity * RHLE High availability including clustering, fencing and unfencing if you have the skills required please 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 Business in relation to this vacancy
16/05/2024
Project-based
Job Title: Infrastructure Support Engineer III - Red Hat Linux enterprise support Contract length: 3-months Day rate: £340 inside ir35 through umbrella Location: Edinburgh *Must be holding SC Clearance* Site hours are: 07:00 - 16:30 Mon-Thurs and 07:00 - 13:30 Fri - hours to be agreed ROLE OVERVIEW: We are looking for customer-focused and enthusiastic 3rd line infrastructure Support Engineer with a genuine interest in solving peoples IT issues to backfill our Business As Usual services while some of our key staff support a critical project. The applicant should be technically competent, possess good written and verbal communication skills and be willing to collaborate with the wider IT support teams. The 3rd line team are expected to resolve a wide variety of server and storage incidents and requests, while minimizing disruption to our users. We're looking for someone to be responsible for our Red Hat Linux environments. Solaris experience would be beneficial. The successful candidate will be someone who can blend first rate customer service with first rate technical skills. Previous experience resolving 3rd line issues in an enterprise environment is essential. DETAILED JOB DESCRIPTION: * Excellent knowledge of Red Hat Linux Enterprise (v4 upwards), including installation, configuration and imaging * Excellent knowledge of Red Hat Network Satellite for system management and performance reporting * Provide support for L2 and L3 Operational activities & troubleshooting * Able to stabilise developed infrastructure solutions using Red Hat methodologies in complex customer environments * Demonstrate the ability to methodically work through issues * Must be able to deal directly with clients in a friendly and highly confident manner demonstrating excellent internal and external customer communication skills * Achieve high levels of customer satisfaction * Author processes and working instructions * Work within challenging SLA's and follow escalation paths to the leadership team and product specialists promptly when required * Represent the 3rd line team from a Linux perspective in customer meetings * Red Hat Certified Engineer or other Red Hat/Linux related certification * To manage a range of Linux technology's RHLE, RHNS, Kernel virtualisation (KVM) and to include optimisation, interoperability, and availability of systems on a customer's site * Utilisation of RHNS for compliance management, provisioning of services and resources, content control and system security and integrity * RHLE High availability including clustering, fencing and unfencing if you have the skills required please 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 Business in relation to this vacancy
Global Technology Solutions Ltd
Edinburgh, Midlothian
Job Title: Infrastructure Support Engineer III Contract length: 3-months Day rate: £340 inside ir35 through umbrella Location: Edinburgh *Must be holding SC Clearance* Site hours are: 07:00 - 16:30 Mon-Thurs and 07:00 - 13:30 Fri - hours to be agreed ROLE OVERVIEW: We are looking for customer-focused and enthusiastic 3rd line infrastructure Support Engineer with a genuine interest in solving peoples IT issues to backfill our Business As Usual services while some of our key staff support a critical project. The applicant should be technically competent, possess good written and verbal communication skills and be willing to collaborate with the wider IT support teams. The 3rd line team members are expected to be specialists at solving a variety of software issues, while minimizing disruption to our users. A successful candidate will be someone who can blend first rate customer service with first rate technical skills. Previous experience resolving 2nd and 3rd line issues in an enterprise environment is essential. DETAILED JOB DESCRIPTION: * To manage a range of technologies such as Domain Central Services (Active Directory), SCCM - to include optimisation, interoperability, and availability * Hands on experience of day to day administration of Microsoft Active Directory including creation of users, security groups, GPO's and roaming profiles * Able to identify, define and resolve complex issues with Microsoft Windows and Office applications * Coach and educate the 2nd Line Engineers, in developing their skills to improve first time fix and overall team performance * Demonstrate resilience and the resourcefulness to work effectively under pressure and to tight deadlines * Ability to author documents such as reports, policies, procedures and workflows ESSENTIALS SKILLS/QUALIFICATIONS: * Active Directory * SCCM management & operation (or similar network management system) * Microsoft WSUS (Windows Server Update Services) * Ivanti Security Controls * Ivanti Device and Application Control * Avecto Defendpoint DESIRABLE SKILLS/QUALIFICATIONS: * Citrix based VDI Infrastructure * Administering Licence Servers * Administering Managed Print Servers * ITIL Foundation * MCP/MCSE If you have the skills required, please "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 Business in relation to this vacancy.
16/05/2024
Project-based
Job Title: Infrastructure Support Engineer III Contract length: 3-months Day rate: £340 inside ir35 through umbrella Location: Edinburgh *Must be holding SC Clearance* Site hours are: 07:00 - 16:30 Mon-Thurs and 07:00 - 13:30 Fri - hours to be agreed ROLE OVERVIEW: We are looking for customer-focused and enthusiastic 3rd line infrastructure Support Engineer with a genuine interest in solving peoples IT issues to backfill our Business As Usual services while some of our key staff support a critical project. The applicant should be technically competent, possess good written and verbal communication skills and be willing to collaborate with the wider IT support teams. The 3rd line team members are expected to be specialists at solving a variety of software issues, while minimizing disruption to our users. A successful candidate will be someone who can blend first rate customer service with first rate technical skills. Previous experience resolving 2nd and 3rd line issues in an enterprise environment is essential. DETAILED JOB DESCRIPTION: * To manage a range of technologies such as Domain Central Services (Active Directory), SCCM - to include optimisation, interoperability, and availability * Hands on experience of day to day administration of Microsoft Active Directory including creation of users, security groups, GPO's and roaming profiles * Able to identify, define and resolve complex issues with Microsoft Windows and Office applications * Coach and educate the 2nd Line Engineers, in developing their skills to improve first time fix and overall team performance * Demonstrate resilience and the resourcefulness to work effectively under pressure and to tight deadlines * Ability to author documents such as reports, policies, procedures and workflows ESSENTIALS SKILLS/QUALIFICATIONS: * Active Directory * SCCM management & operation (or similar network management system) * Microsoft WSUS (Windows Server Update Services) * Ivanti Security Controls * Ivanti Device and Application Control * Avecto Defendpoint DESIRABLE SKILLS/QUALIFICATIONS: * Citrix based VDI Infrastructure * Administering Licence Servers * Administering Managed Print Servers * ITIL Foundation * MCP/MCSE If you have the skills required, please "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 Business in relation to this vacancy.
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.
GNSS Engineer - Positioning - RF Engineering - Software - Paignton/Remote - (RL7360) Salary - Competitive Benefits - Pension, Life Insurance, Health Care, Dental, Gym, Birthday Benefits, 25 days' annual leave, Fitness Classes & Progression Location - Paignton, Devon (Hybrid remote/onsite) The Client: Curo are Partnering with a Global Company who deliver their B2B Customers cutting-edge technology. Their automated test and assurance solutions accelerate technology development in the lab, and ensure new products and services perform in the real world. Their innovative portfolio of products and services address the test, assurance, and automation challenges of a new generation of technologies: 5G, SD-WAN, Cloud, Autonomous Vehicles and beyond. The Candidate: This position would suit a candidate with Knowledge of a suitable technology with a degree in GNSS, Software or RF Engineering specialty. The Role: This role offers the exciting challenge of providing technical and project support across the organisations customised product portfolio. The Tailored Solutions team primarily works with leading-edge GNSS simulators across the Positioning Navigation and Timing technologies. In supporting this portfolio there is the opportunity to be supporting all technical and management phases of the Product Realisation Process', together with some customer engagement. Key Duties: Liaise with Sales team and customers directly to capture, question and understand requirements, ahead of proposing appropriate technical solutions in conjunction with cross-functional subject matter specialists. Development and ownership of the detailed technical content provided in the formal Tailored Solution technical proposal. Provide resource and materials costings for inclusion in the commercial response. In selected cases and dependent upon the project type, the opportunity to act as an individual contributor on the project delivery. Requirements: Knowledge of a suitable technology with a degree in GNSS, Software or RF Engineering specialty. Time spent in an individual technical contributor role. Requirements gathering and technical proposal writing knowledge, including some exposure to direct customer engagement. Familiar with (Ideally GNSS based) R&D methods; GNSS test; simulator development. Ability to grasp an understanding of new technologies and their application quickly. Good communication skills required to liaise across multi-discipline project teams and a diverse range of customers. Exposure to working on multiple projects simultaneously, with an ability to prioritise work. Comfortable working in small teams as well as on an individual basis. Preparation of process related materials (eg Bills of Materials) Excellent problem-solving skills. High level of computer literacy. To apply for this GNSS Engineer permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
13/05/2024
Full time
GNSS Engineer - Positioning - RF Engineering - Software - Paignton/Remote - (RL7360) Salary - Competitive Benefits - Pension, Life Insurance, Health Care, Dental, Gym, Birthday Benefits, 25 days' annual leave, Fitness Classes & Progression Location - Paignton, Devon (Hybrid remote/onsite) The Client: Curo are Partnering with a Global Company who deliver their B2B Customers cutting-edge technology. Their automated test and assurance solutions accelerate technology development in the lab, and ensure new products and services perform in the real world. Their innovative portfolio of products and services address the test, assurance, and automation challenges of a new generation of technologies: 5G, SD-WAN, Cloud, Autonomous Vehicles and beyond. The Candidate: This position would suit a candidate with Knowledge of a suitable technology with a degree in GNSS, Software or RF Engineering specialty. The Role: This role offers the exciting challenge of providing technical and project support across the organisations customised product portfolio. The Tailored Solutions team primarily works with leading-edge GNSS simulators across the Positioning Navigation and Timing technologies. In supporting this portfolio there is the opportunity to be supporting all technical and management phases of the Product Realisation Process', together with some customer engagement. Key Duties: Liaise with Sales team and customers directly to capture, question and understand requirements, ahead of proposing appropriate technical solutions in conjunction with cross-functional subject matter specialists. Development and ownership of the detailed technical content provided in the formal Tailored Solution technical proposal. Provide resource and materials costings for inclusion in the commercial response. In selected cases and dependent upon the project type, the opportunity to act as an individual contributor on the project delivery. Requirements: Knowledge of a suitable technology with a degree in GNSS, Software or RF Engineering specialty. Time spent in an individual technical contributor role. Requirements gathering and technical proposal writing knowledge, including some exposure to direct customer engagement. Familiar with (Ideally GNSS based) R&D methods; GNSS test; simulator development. Ability to grasp an understanding of new technologies and their application quickly. Good communication skills required to liaise across multi-discipline project teams and a diverse range of customers. Exposure to working on multiple projects simultaneously, with an ability to prioritise work. Comfortable working in small teams as well as on an individual basis. Preparation of process related materials (eg Bills of Materials) Excellent problem-solving skills. High level of computer literacy. To apply for this GNSS Engineer permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
Subject: Cloud Consultant/Architect - On-Site - Gloucestershire/Bristol - £65 to £95K - AWS - IaaS - PaaS - Kubernetes - Automation Job Title: Cloud Technical Consultant/Architect Location: Gloucestershire/Bristol Salary: £65 - £95K Per Annum Benefits: Bonus, flexible working hours, career opportunities, private medical, excellent pension, and social benefits Active DV Clearance is highly desirable. Please note that candidates will need to be eligible to undergo DV Clearance. The Client: Curo are collaborating with a global edge-to-cloud company advancing the way people live and work. They help companies connect, protect, analyse, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. The Candidate: This is a fantastic opportunity for someone who has big ambitions and an outstanding ability to create strong relationships - or for a dynamic & seasoned Technologist who is looking for new & exciting opportunities to make a difference. Your focus will be to provide clients with the optimal consultative service and experience, resulting in business outcomes that meeting core client values and business requirements. If you are looking for challenges in a fast paced, thriving, international work environment, then we definitely want to hear from you. The Role: This is a brand new opportunity for a bright, driven, customer focussed professional to join our clients Cloud Delivery' team, and work alongside our Enterprise Cloud specialists to drive forward the design, deployment & operations of Cloud Infrastructure, Automation and Containerisation projects for the end-client. The delivery team help deliver valued clients the most effective Cloud solution to suit the organisational requirements of dynamic and fast-paced business. They support them to exploit maximum business benefit from Cloud solutions, leveraging best in class internal and Partner technologies to create relevant and engaging experiences. Duties: Support the design and development of new capabilities, preparing solution options, investigating technology, designing and running proof of concepts, providing assessments, advice and solution options, providing high level and low level design documentation. Cloud engineering capability to leverage Public Cloud platform using automated build processes deployed using Infrastructure as Code. Provide technical challenge and assurance throughout development and delivery of work. Develop re-useable common solutions and patterns to reduce development lead times, improve commonality and lowering Total Cost of Ownership. Work independently and/or within a team using a DevOps way of working. Required Technical skills & experience: Experienced in Cloud native technologies in AWS. Experienced in deploying IaaS/PaaS in Multi Cloud Environments. Experienced in Cloud and Infrastructure Engineering building and testing new capabilities, and supporting the development of new solutions and common templates. Experienced in being able to act as bridge from the infrastructure through to user facing systems. Desirable Technical Skills & Experience: Experienced in Kubernetes Containers. Experienced in the use of Automation tools eg Terraform, Ansible, Foreman, Puppet and Python. Experienced in different flavours of Linux platform and services. To apply for this Cloud Consultant/Architect permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
13/05/2024
Full time
Subject: Cloud Consultant/Architect - On-Site - Gloucestershire/Bristol - £65 to £95K - AWS - IaaS - PaaS - Kubernetes - Automation Job Title: Cloud Technical Consultant/Architect Location: Gloucestershire/Bristol Salary: £65 - £95K Per Annum Benefits: Bonus, flexible working hours, career opportunities, private medical, excellent pension, and social benefits Active DV Clearance is highly desirable. Please note that candidates will need to be eligible to undergo DV Clearance. The Client: Curo are collaborating with a global edge-to-cloud company advancing the way people live and work. They help companies connect, protect, analyse, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. The Candidate: This is a fantastic opportunity for someone who has big ambitions and an outstanding ability to create strong relationships - or for a dynamic & seasoned Technologist who is looking for new & exciting opportunities to make a difference. Your focus will be to provide clients with the optimal consultative service and experience, resulting in business outcomes that meeting core client values and business requirements. If you are looking for challenges in a fast paced, thriving, international work environment, then we definitely want to hear from you. The Role: This is a brand new opportunity for a bright, driven, customer focussed professional to join our clients Cloud Delivery' team, and work alongside our Enterprise Cloud specialists to drive forward the design, deployment & operations of Cloud Infrastructure, Automation and Containerisation projects for the end-client. The delivery team help deliver valued clients the most effective Cloud solution to suit the organisational requirements of dynamic and fast-paced business. They support them to exploit maximum business benefit from Cloud solutions, leveraging best in class internal and Partner technologies to create relevant and engaging experiences. Duties: Support the design and development of new capabilities, preparing solution options, investigating technology, designing and running proof of concepts, providing assessments, advice and solution options, providing high level and low level design documentation. Cloud engineering capability to leverage Public Cloud platform using automated build processes deployed using Infrastructure as Code. Provide technical challenge and assurance throughout development and delivery of work. Develop re-useable common solutions and patterns to reduce development lead times, improve commonality and lowering Total Cost of Ownership. Work independently and/or within a team using a DevOps way of working. Required Technical skills & experience: Experienced in Cloud native technologies in AWS. Experienced in deploying IaaS/PaaS in Multi Cloud Environments. Experienced in Cloud and Infrastructure Engineering building and testing new capabilities, and supporting the development of new solutions and common templates. Experienced in being able to act as bridge from the infrastructure through to user facing systems. Desirable Technical Skills & Experience: Experienced in Kubernetes Containers. Experienced in the use of Automation tools eg Terraform, Ansible, Foreman, Puppet and Python. Experienced in different flavours of Linux platform and services. To apply for this Cloud Consultant/Architect permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.