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.
Role- Network Security Engineer Location- London, UK Job type- Full time Mandatory skills- AZURE NETWORK SPECIALIST Job Description: Experience: 7+ Years Primary responsibilities include Architecture, Planning, Build, Implement and support troubleshooting issues by analysing infrastructure and application alerts and Root Cause Analysis. Perform vulnerability assessment and management ensuring reliability, performance, compliance and business continuity. Develop process and scripts for automating post-change security/environment/quality assurance testing for production release. Address P1/P2/P3 incidents and lead/coordinate scheduled changes in a 24/7/365 service environment. Job Description: Experience and good knowledge in the design, development and Implementation of large-scale Network and Security solutions; comprised of Routing & Switching, Firewalls & VPNs, Load balancers, Network Virtualization & Software Defined Networking( IPV4/IPV6), etc. across On-premise and Cloud Infrastructure. Working experience and sound knowledge on Data Centre & Cloud Infrastructure Networking- Tools and Technologies Hands-on experience and ability to troubleshoot and support critical issues/escalations. Experience with load balancers such as F5, Array, Fortinet, etc. Experience with cloud service providers (AWS, GCP, Azure, etc.) Proven Experience in leading a Network Integration and transformation, in the capacity of Solution Architect/Sr. Engineer Experience in providing in-depth knowledge on network platforms and services, defining and documenting best practices and strategies. Experience or knowledge of Network & Security modelling Tools, NetDevOps, and Network Automation, towards Network as a Code will be an added advantage. Initiate, demonstrate and assume ownership of the opportunities and improvement areas, ensuring completeness of the technical requirements to support business needs. Stay up to date with emerging tools, technologies and trends in the enterprise domain comprising of Network& Security infrastructure and cloud services, leading to innovative solutions addressing the current and future needs Educational Qualification: Graduate- BE/BTech or Postgraduate - Electronics/Communications/Computer Science Certification: ITIL, CCNA/CCNP/JCNA, CCDP/CCIE, Azure/MCSE/RHCE or equivalent technical certifications
17/05/2024
Full time
Role- Network Security Engineer Location- London, UK Job type- Full time Mandatory skills- AZURE NETWORK SPECIALIST Job Description: Experience: 7+ Years Primary responsibilities include Architecture, Planning, Build, Implement and support troubleshooting issues by analysing infrastructure and application alerts and Root Cause Analysis. Perform vulnerability assessment and management ensuring reliability, performance, compliance and business continuity. Develop process and scripts for automating post-change security/environment/quality assurance testing for production release. Address P1/P2/P3 incidents and lead/coordinate scheduled changes in a 24/7/365 service environment. Job Description: Experience and good knowledge in the design, development and Implementation of large-scale Network and Security solutions; comprised of Routing & Switching, Firewalls & VPNs, Load balancers, Network Virtualization & Software Defined Networking( IPV4/IPV6), etc. across On-premise and Cloud Infrastructure. Working experience and sound knowledge on Data Centre & Cloud Infrastructure Networking- Tools and Technologies Hands-on experience and ability to troubleshoot and support critical issues/escalations. Experience with load balancers such as F5, Array, Fortinet, etc. Experience with cloud service providers (AWS, GCP, Azure, etc.) Proven Experience in leading a Network Integration and transformation, in the capacity of Solution Architect/Sr. Engineer Experience in providing in-depth knowledge on network platforms and services, defining and documenting best practices and strategies. Experience or knowledge of Network & Security modelling Tools, NetDevOps, and Network Automation, towards Network as a Code will be an added advantage. Initiate, demonstrate and assume ownership of the opportunities and improvement areas, ensuring completeness of the technical requirements to support business needs. Stay up to date with emerging tools, technologies and trends in the enterprise domain comprising of Network& Security infrastructure and cloud services, leading to innovative solutions addressing the current and future needs Educational Qualification: Graduate- BE/BTech or Postgraduate - Electronics/Communications/Computer Science Certification: ITIL, CCNA/CCNP/JCNA, CCDP/CCIE, Azure/MCSE/RHCE or equivalent technical certifications
Opus has formed an exclusive partnership with a dynamic SaaS scale-up based in Bristol. Leveraging over 30 years of industry expertise, this company has crafted a cutting-edge SaaS suite poised to revolutionise industrial sectors. Over the past 18 months, they've meticulously developed this suite, and now, after a year of intensive product demos, refinement, and collaborative workshops, it's primed for launch! As a member of the Commercial team, you'll work closely with our product specialists to drive revenue generation from our flagship products, engaging with enterprise clients to seize opportunities, close deals, and deliver substantial value. Your role will encompass a range of key responsibilities: Cultivate a robust pipeline by establishing relationships with decision-makers at all levels, including CXOs. Develop tailored business plans for each account, meticulously identifying their unique requirements and aligning solutions accordingly. Maintain thorough documentation of customer interactions and activities within their CRM system. Navigate complex deal cycles, from initial lead identification to stakeholder mapping, negotiation, and ultimately, successful deal closure. Collaborate closely with Marketing and Product teams to integrate events, seminars, and product roadmap sessions tailored to prospective accounts. Elevate brand visibility by fostering mindshare at all organisational levels within target accounts, showcasing compelling customer success stories. Provide accurate forecasting, regular quarterly updates, and diligent tracking of progress against annual targets. Facilitate the cross-sharing of valuable customer feedback with internal stakeholders, including Product and Marketing teams. What's in it for you? This role is tailor-made for someone with a solid background in B2B sales, offering the autonomy to apply your expertise to an innovative product that fills a crucial gap in the market. This solution is the answer that industrial services have been searching for! Perks include: Performance-based bonus structure Comprehensive pension plan Life assurance coverage Flexible hybrid working arrangements Access to company-sponsored events, including tickets to sporting and music events nationwide Participation in an electric vehicle (EV) scheme Our recruitment process involves a 30-minute Teams call followed by a 1-hour formal face-to-face interview. We're aiming to have you onboarded in June inline with their launch in the US. For further information (see below)
17/05/2024
Full time
Opus has formed an exclusive partnership with a dynamic SaaS scale-up based in Bristol. Leveraging over 30 years of industry expertise, this company has crafted a cutting-edge SaaS suite poised to revolutionise industrial sectors. Over the past 18 months, they've meticulously developed this suite, and now, after a year of intensive product demos, refinement, and collaborative workshops, it's primed for launch! As a member of the Commercial team, you'll work closely with our product specialists to drive revenue generation from our flagship products, engaging with enterprise clients to seize opportunities, close deals, and deliver substantial value. Your role will encompass a range of key responsibilities: Cultivate a robust pipeline by establishing relationships with decision-makers at all levels, including CXOs. Develop tailored business plans for each account, meticulously identifying their unique requirements and aligning solutions accordingly. Maintain thorough documentation of customer interactions and activities within their CRM system. Navigate complex deal cycles, from initial lead identification to stakeholder mapping, negotiation, and ultimately, successful deal closure. Collaborate closely with Marketing and Product teams to integrate events, seminars, and product roadmap sessions tailored to prospective accounts. Elevate brand visibility by fostering mindshare at all organisational levels within target accounts, showcasing compelling customer success stories. Provide accurate forecasting, regular quarterly updates, and diligent tracking of progress against annual targets. Facilitate the cross-sharing of valuable customer feedback with internal stakeholders, including Product and Marketing teams. What's in it for you? This role is tailor-made for someone with a solid background in B2B sales, offering the autonomy to apply your expertise to an innovative product that fills a crucial gap in the market. This solution is the answer that industrial services have been searching for! Perks include: Performance-based bonus structure Comprehensive pension plan Life assurance coverage Flexible hybrid working arrangements Access to company-sponsored events, including tickets to sporting and music events nationwide Participation in an electric vehicle (EV) scheme Our recruitment process involves a 30-minute Teams call followed by a 1-hour formal face-to-face interview. We're aiming to have you onboarded in June inline with their launch in the US. For further information (see below)
SIEM Security Specialist vacancy requiring profound QRadar and Sentinel knowledge for a globally operating Basel based company in the financial sector . Your tasks: Improving parsing and rule generation within the SIEM platforms QRadar and Sentinel Collaborating with the SOC and business units to ensure compliance with policies and standards Contributing to advanced detections and filtering as well as providing platform support Participating in the development of device configuration standards like log generators Validating log sources are logging correctly and improving the company's overall logging strategy Your experience/knowledge: Practical experience with log management and SIEM solutions in an enterprise environment Well-versed with QRadar, Azure Sentinel and Windows Event Forwarding, or similar tools Expertise in Cybersecurity or a System/Infrastructure logging background Proficiency in Linux/Unix logging like syslog, journalctl and auditd Ability to understand user requirements and implement them in an existing tech stack Language skills: English - fluent in written and spoken, German conversational Your soft skills: Proactive team player with good communication skills and a strong drive to deliver Ability to suggest solutions to problems in relation to existing systems and tools Location: Basel, Switzerland Sector: Finance Start: ASAP Duration: 09MM+ Ref .Nr.: BH21675 Take the next step and send us your resume along with a daytime phone number where we can reach you. Due to Swiss work permit restrictions, we can only consider applications from Swiss nationals, EU citizens as well as current work-permit holders for Switzerland. Ukrainian refugees are warmly welcomed, we will support you all the way. We welcome applications from individuals of all genders, age groups, sexual orientations, personal expressions, ethnic backgrounds, and religious beliefs. Therefore, there is no requirement to provide gender information or a photo in your application. As per client requirements, we need information about your marital status, nationality, date of birth, and a valid Swiss work permit. For applicants with disabilities, we are happy to explore potential solutions with our end client.
17/05/2024
Project-based
SIEM Security Specialist vacancy requiring profound QRadar and Sentinel knowledge for a globally operating Basel based company in the financial sector . Your tasks: Improving parsing and rule generation within the SIEM platforms QRadar and Sentinel Collaborating with the SOC and business units to ensure compliance with policies and standards Contributing to advanced detections and filtering as well as providing platform support Participating in the development of device configuration standards like log generators Validating log sources are logging correctly and improving the company's overall logging strategy Your experience/knowledge: Practical experience with log management and SIEM solutions in an enterprise environment Well-versed with QRadar, Azure Sentinel and Windows Event Forwarding, or similar tools Expertise in Cybersecurity or a System/Infrastructure logging background Proficiency in Linux/Unix logging like syslog, journalctl and auditd Ability to understand user requirements and implement them in an existing tech stack Language skills: English - fluent in written and spoken, German conversational Your soft skills: Proactive team player with good communication skills and a strong drive to deliver Ability to suggest solutions to problems in relation to existing systems and tools Location: Basel, Switzerland Sector: Finance Start: ASAP Duration: 09MM+ Ref .Nr.: BH21675 Take the next step and send us your resume along with a daytime phone number where we can reach you. Due to Swiss work permit restrictions, we can only consider applications from Swiss nationals, EU citizens as well as current work-permit holders for Switzerland. Ukrainian refugees are warmly welcomed, we will support you all the way. We welcome applications from individuals of all genders, age groups, sexual orientations, personal expressions, ethnic backgrounds, and religious beliefs. Therefore, there is no requirement to provide gender information or a photo in your application. As per client requirements, we need information about your marital status, nationality, date of birth, and a valid Swiss work permit. For applicants with disabilities, we are happy to explore potential solutions with our end client.
Your new role We are looking for a Database Administrator to develop, implement, and maintain the 24/7 corporate database infrastructure for the organisation. The role also involves supporting the enterprise-wide server and storage infrastructure, computer information systems, applications software, and web-based service delivery. Design, implement, maintain and support the database and associated infrastructure to ensure a robust, reliable, efficient and secure operation of the systems and services. Undertake a key responsibility and/or provide backup cover across the team, such as for selected server and storage infrastructure, operating systems, application software, and web-based service delivery, including effective liaison with contracted external suppliers and ensuring alignment with agreed technology and enterprise systems strategy, service requirements, security arrangements, and data exchange and inter-operability requirements. Installation, configuration, and upgrades to database systems and applications software as required, including server virtualisation where applicable. Maintain data standards, including adherence to the Data Protection Act. Monitor and manage systems performance and usage, taking baselines, recording trends and initiation prompt and appropriate action to resolve faults and problems, maintain services and increase capacity when required. Implementation, monitoring and maintenance of agreed standards, services, access arrangements, and security measures Comply with agreed change management procedures and 'at risk' times for the implementation of changes, including taking account of organisation's requirements and providing adequate notice and information for users Test and implement new technologies and services in accordance with agreed strategic development priorities and service requirements, and in conjunction with other substantive and project teams. Plan and test systems business continuity and disaster recovery arrangements, including associated documentation, risk registers, diagrams, and action scripts Assist the Head of IT Operations with the analysis, evaluation, and procurement of hardware and software solutions required for the development and maintenance of the provision. What you'll need to succeed Substantial proven practical expertise and experience in supporting large corporate systems and applications in a large enterprise networked environment at an appropriate level of responsibility Proven knowledge of server operating systems and virtualisation techniques Proven specialist understanding, expertise and experience appropriate to a designated key responsibility A good understanding of the systems and services required to support learning, teaching, research, and university business and administration requirements. A good understanding of information security principles and best practice. Experience in: Windows and SQL server systems, Active Directory Novell Netware systems, Zenworks, e-Directory Linux (SUSE) systems Sun Solaris Unix systems, NIS+ Lotus Domino MS Exchange and mail services Web Servers, Apache, Tomcat Experience across the Oracle suite Data warehouse infrastructure, data archive solutions Storage area networks, volume management Anti-virus software Technical architectures and development environments inc JAVA, .NET and Visual C++ What you'll get in return A permanent role paying up to £53,000pa + benefits. The role is based in Hertfordshire and hybrid working is on offer. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
17/05/2024
Full time
Your new role We are looking for a Database Administrator to develop, implement, and maintain the 24/7 corporate database infrastructure for the organisation. The role also involves supporting the enterprise-wide server and storage infrastructure, computer information systems, applications software, and web-based service delivery. Design, implement, maintain and support the database and associated infrastructure to ensure a robust, reliable, efficient and secure operation of the systems and services. Undertake a key responsibility and/or provide backup cover across the team, such as for selected server and storage infrastructure, operating systems, application software, and web-based service delivery, including effective liaison with contracted external suppliers and ensuring alignment with agreed technology and enterprise systems strategy, service requirements, security arrangements, and data exchange and inter-operability requirements. Installation, configuration, and upgrades to database systems and applications software as required, including server virtualisation where applicable. Maintain data standards, including adherence to the Data Protection Act. Monitor and manage systems performance and usage, taking baselines, recording trends and initiation prompt and appropriate action to resolve faults and problems, maintain services and increase capacity when required. Implementation, monitoring and maintenance of agreed standards, services, access arrangements, and security measures Comply with agreed change management procedures and 'at risk' times for the implementation of changes, including taking account of organisation's requirements and providing adequate notice and information for users Test and implement new technologies and services in accordance with agreed strategic development priorities and service requirements, and in conjunction with other substantive and project teams. Plan and test systems business continuity and disaster recovery arrangements, including associated documentation, risk registers, diagrams, and action scripts Assist the Head of IT Operations with the analysis, evaluation, and procurement of hardware and software solutions required for the development and maintenance of the provision. What you'll need to succeed Substantial proven practical expertise and experience in supporting large corporate systems and applications in a large enterprise networked environment at an appropriate level of responsibility Proven knowledge of server operating systems and virtualisation techniques Proven specialist understanding, expertise and experience appropriate to a designated key responsibility A good understanding of the systems and services required to support learning, teaching, research, and university business and administration requirements. A good understanding of information security principles and best practice. Experience in: Windows and SQL server systems, Active Directory Novell Netware systems, Zenworks, e-Directory Linux (SUSE) systems Sun Solaris Unix systems, NIS+ Lotus Domino MS Exchange and mail services Web Servers, Apache, Tomcat Experience across the Oracle suite Data warehouse infrastructure, data archive solutions Storage area networks, volume management Anti-virus software Technical architectures and development environments inc JAVA, .NET and Visual C++ What you'll get in return A permanent role paying up to £53,000pa + benefits. The role is based in Hertfordshire and hybrid working is on offer. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Security Specialist - Hashicorp Hybrid Working - 1-2 days a month on site. 6 months with potential extensions £- Via Umbrella With one of Lorien's top banking clients Looking for a Security Specialist with a focus on Hashicorp to join the existing team on an end-of-life project. Key Skills: Strong Experience of working with Hashicorp. Cloud DevOps. Experience of working at Enterprise Level of Architecture/Engineering. Splunk Monitoring. Security Domain. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
17/05/2024
Project-based
Security Specialist - Hashicorp Hybrid Working - 1-2 days a month on site. 6 months with potential extensions £- Via Umbrella With one of Lorien's top banking clients Looking for a Security Specialist with a focus on Hashicorp to join the existing team on an end-of-life project. Key Skills: Strong Experience of working with Hashicorp. Cloud DevOps. Experience of working at Enterprise Level of Architecture/Engineering. Splunk Monitoring. Security Domain. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
IT Operations Specialist - 6months + Global Enterprise Partners is currently looking for an IT Operations Specialist for an assignment with a large retail organization. Our client operates in an extremely dynamic context with several major changes: ongoing multi-cloud transformation, omnichannel strategy. Requirements IT Operations Specialist Role: Handle tickets in the ServiceNow tool while adhering to SLAs Enhance operational and monitoring procedures Define, evolve, and/or implement technical or functional monitoring services for the Retail scope, especially to accelerate the automation of incident detection and resolution. Responsible for hosting and operating Retail solutions. Drive technical projects (eg, infrastructure migration, data center relocation, DRP testing). Responsible for production releases installation Contribute through expertise to the smooth operation of production applications to ensure a defined level of service quality and security for users in line with business constraints. Details IT Operations Specialist Role: Start date: ASAP (Flexible) Duration: Initially 6 months (with extensions) Hours per week: 40 hours Location: Remote (LATAM) Type of contract: Freelancer Rate: Open Interested? If this role as IT Operations Specialist is of your interest, please apply directly via the link and/or get in touch with Eva Donaque via phone or email
17/05/2024
Project-based
IT Operations Specialist - 6months + Global Enterprise Partners is currently looking for an IT Operations Specialist for an assignment with a large retail organization. Our client operates in an extremely dynamic context with several major changes: ongoing multi-cloud transformation, omnichannel strategy. Requirements IT Operations Specialist Role: Handle tickets in the ServiceNow tool while adhering to SLAs Enhance operational and monitoring procedures Define, evolve, and/or implement technical or functional monitoring services for the Retail scope, especially to accelerate the automation of incident detection and resolution. Responsible for hosting and operating Retail solutions. Drive technical projects (eg, infrastructure migration, data center relocation, DRP testing). Responsible for production releases installation Contribute through expertise to the smooth operation of production applications to ensure a defined level of service quality and security for users in line with business constraints. Details IT Operations Specialist Role: Start date: ASAP (Flexible) Duration: Initially 6 months (with extensions) Hours per week: 40 hours Location: Remote (LATAM) Type of contract: Freelancer Rate: Open Interested? If this role as IT Operations Specialist is of your interest, please apply directly via the link and/or get in touch with Eva Donaque via phone or email
Hays Specialist Recruitment
Cardiff, South Glamorgan
As a technical architect, you'll be responsible for designing and implementing technologies across various infrastructure components. This includes Microsoft 365, Azure Cloud, SAP Cloud, SaaS solutions, and more. You'll create designs to support business requirements, ensure 24x7 availability of core services, and apply security best practices. Additionally, you'll provide technical direction for projects, contribute to business cases, and stay informed about cloud platform developments. Your role involves engaging with stakeholders, managing architecture teams, and delivering key artefacts for cloud projects. Strong technical knowledge, relationship management skills, and the ability to work under pressure are essential. Your deliverables will include architectural artefacts, technology roadmaps, and technical requirements documents. If you have not dealt with the Architecture of Microsoft 365 but are interested in moving into that space, then please apply as potential options to be upskilled for the right candidate. What you'll need to succeed You must be able to demonstrate capabilities in the following: Microsoft 365 Microsoft 365 Co-pilot Microsoft Purview Microsoft Enterprise Mobility & Security (inc. Intune) Windows 11 Windows Hello for Business Azure AD P2, Azure B2B & Azure B2C Desktop Virtualisation - Azure Virtual Desktop (AVD) and Citrix Ivanti AppSense What you'll get in return 33 Days Annual Leave Yearly increase and incentive (Depending on performance) Up to 11% Employer Pension Contribution On site parking Car Leasing Scheme Gym Membership Reduction Progression Opportunities Flexible working options available. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
17/05/2024
Full time
As a technical architect, you'll be responsible for designing and implementing technologies across various infrastructure components. This includes Microsoft 365, Azure Cloud, SAP Cloud, SaaS solutions, and more. You'll create designs to support business requirements, ensure 24x7 availability of core services, and apply security best practices. Additionally, you'll provide technical direction for projects, contribute to business cases, and stay informed about cloud platform developments. Your role involves engaging with stakeholders, managing architecture teams, and delivering key artefacts for cloud projects. Strong technical knowledge, relationship management skills, and the ability to work under pressure are essential. Your deliverables will include architectural artefacts, technology roadmaps, and technical requirements documents. If you have not dealt with the Architecture of Microsoft 365 but are interested in moving into that space, then please apply as potential options to be upskilled for the right candidate. What you'll need to succeed You must be able to demonstrate capabilities in the following: Microsoft 365 Microsoft 365 Co-pilot Microsoft Purview Microsoft Enterprise Mobility & Security (inc. Intune) Windows 11 Windows Hello for Business Azure AD P2, Azure B2B & Azure B2C Desktop Virtualisation - Azure Virtual Desktop (AVD) and Citrix Ivanti AppSense What you'll get in return 33 Days Annual Leave Yearly increase and incentive (Depending on performance) Up to 11% Employer Pension Contribution On site parking Car Leasing Scheme Gym Membership Reduction Progression Opportunities Flexible working options available. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a M365 Platform Manager. This manager will have a heavy focus with MS Teams. The team is seeking at least three to four years' experience in MS Teams that includes audio/visual conferencing, analytics, Team Premium, and MT SME. Also will need experience with SharePoint Online, OneDrive, OneNote, Planner Streams, PowerShell, etc. They will manage a team of consultants and focus on policies, compliance, change management, etc. Responsibilities: Provide leadership in establishing robust M365 service administration protocols Administers M365 collaboration tools, including SharePoint Online, MS Teams, OneNote, OneDrive, Streams, Planner, Viva Engage, etc Continually develops the processes and policies for provisioning Forms a community with the Global Assistant Director of M365 Platform, the Cloud Architect, the Enterprise Application Architect (and with others as needed) to provide collective oversight of the M365 ecosystem Promotes optimal useability of M365 services Monitors Microsoft's roadmap for upgrades to M365 services and establishes the mechanisms by which we share relevant changes with our people Works with the office of the Director of Information Governance in ensuring content management policies for M365 are in compliance and updated as business needs evolve Works closely with the Security team, prioritizing safety of the firm's systems and content Identifies potential points of integration between M365 services on the core device-top and works with technical colleagues to deliver key integrations Promotes use of the data available via the Microsoft admin portal to identify areas of untapped benefit, and to foster our continuing path towards a data-driven organization Provides level three support for functional requests relating to M365 collaboration services Develop and/or lead change management efforts across all phases of projects and initiatives to drive the Firm's culture of continuous improvement Ensures vendors provide proper levels of support, maintain SLA's, and provide root cause analysis for escalated issues Ensures all team, departmental and firm policies and procedures are adhered to, including technical change management and service continuity Completes all administrative tasks, ie, (time tracking, project and task updates, trouble ticket notes, status reports, responding to email, etc.) accurately and on time Qualifications Bachelor's degree in Computer Science or a related field. 5+ years of M365 product experience Prior experience in M365, specifically MS Teams and SharePoint Online administration, and guiding their use within an organization In depth knowledge of SharePoint Online and Microsoft Teams is required Holistic knowledge of the M365 Suite is required Knowledge of Intapp Workspaces is helpful PowerShell Scripting Proven change management skills M365 certification, such as MS Teams Specialist, SPO Admin and or Development
16/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a M365 Platform Manager. This manager will have a heavy focus with MS Teams. The team is seeking at least three to four years' experience in MS Teams that includes audio/visual conferencing, analytics, Team Premium, and MT SME. Also will need experience with SharePoint Online, OneDrive, OneNote, Planner Streams, PowerShell, etc. They will manage a team of consultants and focus on policies, compliance, change management, etc. Responsibilities: Provide leadership in establishing robust M365 service administration protocols Administers M365 collaboration tools, including SharePoint Online, MS Teams, OneNote, OneDrive, Streams, Planner, Viva Engage, etc Continually develops the processes and policies for provisioning Forms a community with the Global Assistant Director of M365 Platform, the Cloud Architect, the Enterprise Application Architect (and with others as needed) to provide collective oversight of the M365 ecosystem Promotes optimal useability of M365 services Monitors Microsoft's roadmap for upgrades to M365 services and establishes the mechanisms by which we share relevant changes with our people Works with the office of the Director of Information Governance in ensuring content management policies for M365 are in compliance and updated as business needs evolve Works closely with the Security team, prioritizing safety of the firm's systems and content Identifies potential points of integration between M365 services on the core device-top and works with technical colleagues to deliver key integrations Promotes use of the data available via the Microsoft admin portal to identify areas of untapped benefit, and to foster our continuing path towards a data-driven organization Provides level three support for functional requests relating to M365 collaboration services Develop and/or lead change management efforts across all phases of projects and initiatives to drive the Firm's culture of continuous improvement Ensures vendors provide proper levels of support, maintain SLA's, and provide root cause analysis for escalated issues Ensures all team, departmental and firm policies and procedures are adhered to, including technical change management and service continuity Completes all administrative tasks, ie, (time tracking, project and task updates, trouble ticket notes, status reports, responding to email, etc.) accurately and on time Qualifications Bachelor's degree in Computer Science or a related field. 5+ years of M365 product experience Prior experience in M365, specifically MS Teams and SharePoint Online administration, and guiding their use within an organization In depth knowledge of SharePoint Online and Microsoft Teams is required Holistic knowledge of the M365 Suite is required Knowledge of Intapp Workspaces is helpful PowerShell Scripting Proven change management skills M365 certification, such as MS Teams Specialist, SPO Admin and or Development
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.
LA International Computer Consultants Ltd
Stevenage, Hertfordshire
We have an urgent requirement for an RTT Validator with Lorenzo experience. Key Responsibilities include: 1. To provide specialist RTT knowledge including validating complex pathways, supporting specialities in understanding, validating specific pathways and support in RTT training as requested 2. To identify key data quality metrics and trends and provide detailed resolution method. 3. To support in high level validation projects and not just limiting to RTT validation but other validation projects including validating Legacy referrals, follow up PTLs, waiting list duplication etc. 4. To review, analyse data and in- depth understanding of PTLs. Understanding RTT targets. 5. To support and escalate validation issue to Trust designated RTT lead. Essential Experience includes: - To have in-depth understanding of national rules on RTT and application on pathways using Lorenzo PAS system. - To be fully proficient on all patient information systems throughout the Trust to extract information that will support in robust validation of pathways and accurate reporting. - To have at least 2 years' experience of Lorenzo PAS system in validating RTT pathways, performing other operational tasks eg booking appointment, creating access plans and resolving data quality issues, for example closing duplicate pathways, access plans and referrals. - To be proficient in Microsoft Word and Excel - To develop or help to support in developing Standard Operational Procedures (SOPs) or QRGs to support teams in achieving their RTT targets and resolving data quality issues. - To understand other key performance targets that could impact RTT performance including Cancer targets and DM01. LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds. Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.
16/05/2024
Project-based
We have an urgent requirement for an RTT Validator with Lorenzo experience. Key Responsibilities include: 1. To provide specialist RTT knowledge including validating complex pathways, supporting specialities in understanding, validating specific pathways and support in RTT training as requested 2. To identify key data quality metrics and trends and provide detailed resolution method. 3. To support in high level validation projects and not just limiting to RTT validation but other validation projects including validating Legacy referrals, follow up PTLs, waiting list duplication etc. 4. To review, analyse data and in- depth understanding of PTLs. Understanding RTT targets. 5. To support and escalate validation issue to Trust designated RTT lead. Essential Experience includes: - To have in-depth understanding of national rules on RTT and application on pathways using Lorenzo PAS system. - To be fully proficient on all patient information systems throughout the Trust to extract information that will support in robust validation of pathways and accurate reporting. - To have at least 2 years' experience of Lorenzo PAS system in validating RTT pathways, performing other operational tasks eg booking appointment, creating access plans and resolving data quality issues, for example closing duplicate pathways, access plans and referrals. - To be proficient in Microsoft Word and Excel - To develop or help to support in developing Standard Operational Procedures (SOPs) or QRGs to support teams in achieving their RTT targets and resolving data quality issues. - To understand other key performance targets that could impact RTT performance including Cancer targets and DM01. LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds. Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.
Are you experienced in Active Directory Engineer and seeking a new hybrid role in Manchester? Deerfoot IT Recruitment is helping a collaborative company recruit a Full time Active Directory Engineer, and the hybrid role comes with an attractive salary and benefits. This Active Directory Engineer role is hybrid, with two days onsite and three days remote. It offers a salary of £55k neg and a generous benefits package that includes Pension, Life Insurance, and Medical and more,. You will need to be eligible to undergo SC clearance due to the nature of the client. You'll support the BAU Engineers on complex automation and user-submitted tickets. To give you an idea of how this Active Directory Engineer role would look and feel, here are some areas you can expect to work in: Troubleshooting, data analysis, and reporting of application and infrastructure environments that may assist other teams with incident and problem investigations Design and implement PowerShell scripts to automate a wide variety of server/infrastructure tasks Configure Domain Services, with a focus on Domain Controller maintenance and configuration Provide hands-on Production, Pre-Production, and Development support and maintenance of Active Directory Infrastructures Manage Group Policy Objects (GPOs) throughout the Active Directory (AD) enterprise We are looking for an Active Directory Engineer with experience in and applied understanding of Azure AD Tenant, power Shell, and API (Application Programming Interface) management. You will also require: Experience in Windows administration, at a minimum, for toolset installs, maintenance activities, and troubleshooting Group Policy Management, along with Administration of DNS, WINS, and DHCP Recommends and presents solutions to all levels of management on desirable or necessary technology changes or improvements Seeks out other resources to resolve problems Deadline-driven with an ability to successfully prioritise requests from multiple sources You'll receive an excellent salary and benefits package for your knowledge, expertise, and flexibility. Please get in touch with our Deerfoot IT Recruitment team today to apply and register your interest in this hybrid Full time Active Directory Engineer position. They'd be thrilled to hear from you. Deerfoot IT Resources Ltd is one of the UK's leading IT Recruitment Agencies, trusted by many of the UK's leading employers. Established in 1997, we have over 25 years of experience as IT Recruitment Specialists. We will never send your CV anywhere without your authorisation and only after you have seen the complete details of this opportunity. Deerfoot is acting as an employment agency for permanent hires and an employment business for contingency hires. Each time Deerfoot sends a CV to a recruiting client, we donate £1 to The Born Free Foundation (). Deerfoot is also climate-positive in partnership with Ecologi. Deerfoot IT Resources Ltd is acting as an Employment Agency in relation to this vacancy.
16/05/2024
Full time
Are you experienced in Active Directory Engineer and seeking a new hybrid role in Manchester? Deerfoot IT Recruitment is helping a collaborative company recruit a Full time Active Directory Engineer, and the hybrid role comes with an attractive salary and benefits. This Active Directory Engineer role is hybrid, with two days onsite and three days remote. It offers a salary of £55k neg and a generous benefits package that includes Pension, Life Insurance, and Medical and more,. You will need to be eligible to undergo SC clearance due to the nature of the client. You'll support the BAU Engineers on complex automation and user-submitted tickets. To give you an idea of how this Active Directory Engineer role would look and feel, here are some areas you can expect to work in: Troubleshooting, data analysis, and reporting of application and infrastructure environments that may assist other teams with incident and problem investigations Design and implement PowerShell scripts to automate a wide variety of server/infrastructure tasks Configure Domain Services, with a focus on Domain Controller maintenance and configuration Provide hands-on Production, Pre-Production, and Development support and maintenance of Active Directory Infrastructures Manage Group Policy Objects (GPOs) throughout the Active Directory (AD) enterprise We are looking for an Active Directory Engineer with experience in and applied understanding of Azure AD Tenant, power Shell, and API (Application Programming Interface) management. You will also require: Experience in Windows administration, at a minimum, for toolset installs, maintenance activities, and troubleshooting Group Policy Management, along with Administration of DNS, WINS, and DHCP Recommends and presents solutions to all levels of management on desirable or necessary technology changes or improvements Seeks out other resources to resolve problems Deadline-driven with an ability to successfully prioritise requests from multiple sources You'll receive an excellent salary and benefits package for your knowledge, expertise, and flexibility. Please get in touch with our Deerfoot IT Recruitment team today to apply and register your interest in this hybrid Full time Active Directory Engineer position. They'd be thrilled to hear from you. Deerfoot IT Resources Ltd is one of the UK's leading IT Recruitment Agencies, trusted by many of the UK's leading employers. Established in 1997, we have over 25 years of experience as IT Recruitment Specialists. We will never send your CV anywhere without your authorisation and only after you have seen the complete details of this opportunity. Deerfoot is acting as an employment agency for permanent hires and an employment business for contingency hires. Each time Deerfoot sends a CV to a recruiting client, we donate £1 to The Born Free Foundation (). Deerfoot is also climate-positive in partnership with Ecologi. Deerfoot IT Resources Ltd is acting as an Employment Agency in relation to this vacancy.
2nd Line Engineer - Azure, M365, AVD - Hybrid/Bristol - £27,000 - £32,000 My client is a superb solutions and Services provider. They're in fast-growth mode after successful start-up and a massive part of that is their amazing Managed Services team which excel in every department. The business put their people first which transmits through to their customers with customer feedback outstanding as well as internal feedback! WHY? Second to none progression plans Latest, cutting edge technology. Certification training/progression Technologies: Microsoft tech Office365/Microsoft365 Azure AVD Responsibilities: Troubleshoot and resolve technical issues. Work across all manner of Microsoft enterprise services providing support (Windows Server, AD, SQL, DNS etc). Work across the full Microsoft 365 stack supporting customers. Collaborate with internal teams to define and implement enhancements, meeting client requirements and specifications. Provide technical expertise and guidance to customers and colleagues. Continuously monitor and maintain environments to ensure high availability and optimal performance. Please do reach out to me or email me on (see below) 2nd Line Engineer - Azure, M365, AVD - Hybrid/Bristol - £27,000 - £32,000
16/05/2024
Full time
2nd Line Engineer - Azure, M365, AVD - Hybrid/Bristol - £27,000 - £32,000 My client is a superb solutions and Services provider. They're in fast-growth mode after successful start-up and a massive part of that is their amazing Managed Services team which excel in every department. The business put their people first which transmits through to their customers with customer feedback outstanding as well as internal feedback! WHY? Second to none progression plans Latest, cutting edge technology. Certification training/progression Technologies: Microsoft tech Office365/Microsoft365 Azure AVD Responsibilities: Troubleshoot and resolve technical issues. Work across all manner of Microsoft enterprise services providing support (Windows Server, AD, SQL, DNS etc). Work across the full Microsoft 365 stack supporting customers. Collaborate with internal teams to define and implement enhancements, meeting client requirements and specifications. Provide technical expertise and guidance to customers and colleagues. Continuously monitor and maintain environments to ensure high availability and optimal performance. Please do reach out to me or email me on (see below) 2nd Line Engineer - Azure, M365, AVD - Hybrid/Bristol - £27,000 - £32,000
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.