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.
14/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
14/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
14/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
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.
14/06/2024
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.
14/06/2024
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.
14/06/2024
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.
SCC Flex Contract: Dynamics365 Developer- £500 per day - via umbrella - Remote - Manchester As an Dynamics365 Developer, you will: Develop custom modules of Dynamics BCM for the new Case Management platform (ShareDo). Integrate Dynamics BCM with CRM and Finance systems. Collaborate with stakeholders to understand and implement business requirements. Write and maintain code using C#, .NET, JavaScript, and SQL. Utilize MS Power Platform (BI) for reporting and insights. Implement cloud solutions with Azure. Troubleshoot and resolve technical issues. Ensure documentation is current and comprehensive. The successful Dynamics365 Developer will have experience in: Custom Development of Dynamics C#/.NET JavaScript SQL MS Power Platform (BI) Azure This is an immediate start role! To apply, please send a copy of your most up-to-date CV. NOTE: At SCC, we prioritize the privacy and security of your information. Your data will be processed in accordance with current data protection legislation and our privacy policy, available on our website.
14/06/2024
Project-based
SCC Flex Contract: Dynamics365 Developer- £500 per day - via umbrella - Remote - Manchester As an Dynamics365 Developer, you will: Develop custom modules of Dynamics BCM for the new Case Management platform (ShareDo). Integrate Dynamics BCM with CRM and Finance systems. Collaborate with stakeholders to understand and implement business requirements. Write and maintain code using C#, .NET, JavaScript, and SQL. Utilize MS Power Platform (BI) for reporting and insights. Implement cloud solutions with Azure. Troubleshoot and resolve technical issues. Ensure documentation is current and comprehensive. The successful Dynamics365 Developer will have experience in: Custom Development of Dynamics C#/.NET JavaScript SQL MS Power Platform (BI) Azure This is an immediate start role! To apply, please send a copy of your most up-to-date CV. NOTE: At SCC, we prioritize the privacy and security of your information. Your data will be processed in accordance with current data protection legislation and our privacy policy, available on our website.
Lead PHP (Laravel) Developer- £80k + 20% Bonus - Join a fintech specialist supporting financial advisers, property developers and homeowners. As a Lead PHP Developer you will be working on a large scale greenfield project and a Legacy system which will be modernised following the companies widescale development upscale. You will be involved in marking architectural decisions, contributing to design patterns, create new web-based applications. Location: X2 week in Watford Office, WD17 1EU Salary: £75,000-£80,000 + 20% bonus Key responsibilities: Assist in architecting, design, development, implementation of complex web-based applications and core utilities Collaborate with divisional architects, lead engineers and other engineers to set web-based architectural standards for the division Help to maintain and develop the company's software applications Provide a level of mentorship to junior developers (when necessary) Effectively manage time and convey progress whilst working on multiple tasks Assist in improving the company's deployment processes Interpret and evaluate business requirements and contribute to the design of applications Write and review technical and non-technical specifications Our Expectation for the ideal candidate Senior level Knowledge and Experience with PHP and Laravel Senior level Knowledge and Experience in Javascript (Preferable Vue.js) Strong command line use of Git. Knowledge of Zend framework. In depth experience with MySQL obust knowledge around cyber security (vunerabilities, mitigations, dependencies) Previous experience designing and building cloud SaaS Applications Previous experience using JIRA & Confluence. If you're interested in joining a Fintech company who strive on modernising their technology by adopting new technology and promoting a high quality engineering environment. Please get in touch with a up to date CV to get a conversation rolling. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
14/06/2024
Full time
Lead PHP (Laravel) Developer- £80k + 20% Bonus - Join a fintech specialist supporting financial advisers, property developers and homeowners. As a Lead PHP Developer you will be working on a large scale greenfield project and a Legacy system which will be modernised following the companies widescale development upscale. You will be involved in marking architectural decisions, contributing to design patterns, create new web-based applications. Location: X2 week in Watford Office, WD17 1EU Salary: £75,000-£80,000 + 20% bonus Key responsibilities: Assist in architecting, design, development, implementation of complex web-based applications and core utilities Collaborate with divisional architects, lead engineers and other engineers to set web-based architectural standards for the division Help to maintain and develop the company's software applications Provide a level of mentorship to junior developers (when necessary) Effectively manage time and convey progress whilst working on multiple tasks Assist in improving the company's deployment processes Interpret and evaluate business requirements and contribute to the design of applications Write and review technical and non-technical specifications Our Expectation for the ideal candidate Senior level Knowledge and Experience with PHP and Laravel Senior level Knowledge and Experience in Javascript (Preferable Vue.js) Strong command line use of Git. Knowledge of Zend framework. In depth experience with MySQL obust knowledge around cyber security (vunerabilities, mitigations, dependencies) Previous experience designing and building cloud SaaS Applications Previous experience using JIRA & Confluence. If you're interested in joining a Fintech company who strive on modernising their technology by adopting new technology and promoting a high quality engineering environment. Please get in touch with a up to date CV to get a conversation rolling. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
Senior Solutions Architect Location: Dublin Salary: €120K base plus benefits We are looking for a Senior Solutions Architect , for my client a leader in implementing commercial Smart Building solutions across a range of clients across UKI. About the role: You'll lead the design and implementation of smart building solutions. You'll work with cutting-edge technologies like AWS, GCP, IoT, and more to create integrated, human-centric environments. Key Responsibilities: Design Development: Translate conceptual designs into detailed, technical solutions. Technical Oversight: Ensure the technical performance and security of smart building systems. Collaboration: Work with cross-functional teams, including software engineers, building services engineers, and CAD/BIM designers. Vendor Management: Manage third-party vendors and specialist subcontractors, ensuring quality and integration. Trend Analysis: Stay updated with emerging industry trends and technologies. Requirements: Bachelor's degree in Engineering, Software, or a related field. Experience in the smart building sector. Strong background in software and serverless design. Proficiency in AWS, GCP, or similar cloud platforms. Familiarity with IoT, networks, and APIs. Excellent communication, project management, and mentoring skill
14/06/2024
Full time
Senior Solutions Architect Location: Dublin Salary: €120K base plus benefits We are looking for a Senior Solutions Architect , for my client a leader in implementing commercial Smart Building solutions across a range of clients across UKI. About the role: You'll lead the design and implementation of smart building solutions. You'll work with cutting-edge technologies like AWS, GCP, IoT, and more to create integrated, human-centric environments. Key Responsibilities: Design Development: Translate conceptual designs into detailed, technical solutions. Technical Oversight: Ensure the technical performance and security of smart building systems. Collaboration: Work with cross-functional teams, including software engineers, building services engineers, and CAD/BIM designers. Vendor Management: Manage third-party vendors and specialist subcontractors, ensuring quality and integration. Trend Analysis: Stay updated with emerging industry trends and technologies. Requirements: Bachelor's degree in Engineering, Software, or a related field. Experience in the smart building sector. Strong background in software and serverless design. Proficiency in AWS, GCP, or similar cloud platforms. Familiarity with IoT, networks, and APIs. Excellent communication, project management, and mentoring skill
M365 Specialist/M365 SME York - Hybrid Working 2 days a week on site Permanent The M365 Specialist will be responsible for the definition, management, and continually improving the platform within the business. Key Skills Experience in supporting and management Microsoft 365 environment. In-tune Mobile device management Mobile application management DLP and AIP experience Responsibilities: . Run & optimise the delivery of Microsoft 365 services within the Modern Workplace Service, to ensuring that projects are delivered on time, to cost and to quality. . Act as a Technical Subject Matter Expert for the Microsoft 365 platform. . Develop and embed best practice and new ways of working to ensure efficiency savings are achieved, collaboration is improved, and customer experience enhanced. . Liaise with the senior leadership team for delivery of M365 applications and services. . Gather and assess technical requirements for new engagements, manage existing engagements with infrastructure partners, projects and programmes and ensure we maximise the use of M365 as a strategic platform across Persimmon Homes. . Actively identify and support the prioritisation of M365 functionality to meet the needs of the business. . Awareness of and accountability for ensuring the platform adheres to and has clear procedures to handle all Regulatory, Compliance and Risk requirements - identifying, measuring, analysing and reporting. . Support the training and adoption of new tools and services to colleagues, working closely with the Change Manager, and internal communications teams. . Managing Microsoft 365 security events (Cloud App Security, Email & Collaboration Security,) and implement security features from Microsoft 365 to improve the security level of the environment.
13/06/2024
Full time
M365 Specialist/M365 SME York - Hybrid Working 2 days a week on site Permanent The M365 Specialist will be responsible for the definition, management, and continually improving the platform within the business. Key Skills Experience in supporting and management Microsoft 365 environment. In-tune Mobile device management Mobile application management DLP and AIP experience Responsibilities: . Run & optimise the delivery of Microsoft 365 services within the Modern Workplace Service, to ensuring that projects are delivered on time, to cost and to quality. . Act as a Technical Subject Matter Expert for the Microsoft 365 platform. . Develop and embed best practice and new ways of working to ensure efficiency savings are achieved, collaboration is improved, and customer experience enhanced. . Liaise with the senior leadership team for delivery of M365 applications and services. . Gather and assess technical requirements for new engagements, manage existing engagements with infrastructure partners, projects and programmes and ensure we maximise the use of M365 as a strategic platform across Persimmon Homes. . Actively identify and support the prioritisation of M365 functionality to meet the needs of the business. . Awareness of and accountability for ensuring the platform adheres to and has clear procedures to handle all Regulatory, Compliance and Risk requirements - identifying, measuring, analysing and reporting. . Support the training and adoption of new tools and services to colleagues, working closely with the Change Manager, and internal communications teams. . Managing Microsoft 365 security events (Cloud App Security, Email & Collaboration Security,) and implement security features from Microsoft 365 to improve the security level of the environment.
IT Security Engineer Location: Worcester Job Type: Full-time Starting Salary: £58,191 We are looking for an IT Security Officer to provide professional guidance and specialist advice on all Digital Services related security and risk matters. The successful candidate will ensure the implementation of necessary policies, procedures, processes, and risk management plans to achieve compliance with national codes of connection for information systems. This role is essential in supporting the maintenance of security standards and effective risk management plans within the organisation. Day-to-day of the role: Lead on all aspects of Digital Services security as the design authority. Provide expert advice and guidance on security management, strategies, policies, and practices. Assess the impact of new legislation, threats, suppliers, services, and solutions on Digital Services security. Develop and maintain technical policies and standards to ensure compliance with security frameworks and standards. Influence Digital Services security governance, strategy, policy, planning, assurance, procedures, and practices. Drive continuous improvement and innovation in Digital Services Security. Lead security investigations and represent the department on security groups and governance meetings. Design and oversee vulnerability assessments, penetration tests, and security audits. Maintain a security incident response capability and provide expertise to major incident teams. Required Skills & Qualifications: Recognised Security Qualifications such as CISSP, CCP, or equivalent. Extensive knowledge of IT Standards and Techniques, including ISO 27001 and HMG's Cloud Security Principles. Experience in designing, developing, and implementing ICT security policies. Proven track record as a corporate lead on ICT Security matters. Experience in technical security audit and accreditation activities. Knowledge of vulnerability assessments, penetration tests, and security audits. Strong problem-solving skills and effective communication abilities. Special Conditions: Participation in management on-call rota. Occasional travel may be required. How to Apply: Please submit your CV detailing your relevant experience and qualifications. Your application should demonstrate how you meet the competencies and values required for this role. Note: All candidates must have UK residency for the last 5 years for vetting purposes.
13/06/2024
Full time
IT Security Engineer Location: Worcester Job Type: Full-time Starting Salary: £58,191 We are looking for an IT Security Officer to provide professional guidance and specialist advice on all Digital Services related security and risk matters. The successful candidate will ensure the implementation of necessary policies, procedures, processes, and risk management plans to achieve compliance with national codes of connection for information systems. This role is essential in supporting the maintenance of security standards and effective risk management plans within the organisation. Day-to-day of the role: Lead on all aspects of Digital Services security as the design authority. Provide expert advice and guidance on security management, strategies, policies, and practices. Assess the impact of new legislation, threats, suppliers, services, and solutions on Digital Services security. Develop and maintain technical policies and standards to ensure compliance with security frameworks and standards. Influence Digital Services security governance, strategy, policy, planning, assurance, procedures, and practices. Drive continuous improvement and innovation in Digital Services Security. Lead security investigations and represent the department on security groups and governance meetings. Design and oversee vulnerability assessments, penetration tests, and security audits. Maintain a security incident response capability and provide expertise to major incident teams. Required Skills & Qualifications: Recognised Security Qualifications such as CISSP, CCP, or equivalent. Extensive knowledge of IT Standards and Techniques, including ISO 27001 and HMG's Cloud Security Principles. Experience in designing, developing, and implementing ICT security policies. Proven track record as a corporate lead on ICT Security matters. Experience in technical security audit and accreditation activities. Knowledge of vulnerability assessments, penetration tests, and security audits. Strong problem-solving skills and effective communication abilities. Special Conditions: Participation in management on-call rota. Occasional travel may be required. How to Apply: Please submit your CV detailing your relevant experience and qualifications. Your application should demonstrate how you meet the competencies and values required for this role. Note: All candidates must have UK residency for the last 5 years for vetting purposes.
Prestigious opportunity with a UK Market Leader for an End User Computing Engineer to join our Digital Transformation. Following a period of significant growth, now the perfect time to join our success story! As our End User Computing Engineer you will be responsible for;- Managing and maintaining the Server and Citrix environment, including all aspects of digital desktop provision A multi-faceted role covering a wide range of systems and services, including Citrix, Print, Servers and incorporating anything affecting the end user experience Desktop and laptop imaging services, including standard builds Providing the delivery, monitoring, maintenance, and support of the Citrix environment that makes up the end user desktop experience (inc. print) whilst providing the escalation point for 2nd and 3rd Level support Part of the team to manage all elements of the infrastructure within the UK, this includes but is not limited to Cloud, Server, Applications, Integrations, network, communications, and security. Project work as well as BAU This role is office based however travel to and from profit centres and other locations is required. If you possess a combination of some of the following skills, then LETS TALK! Previous experience supporting Citrix and Windows Desktop environments Remote access, VPNs, Windows Server (AD / GPO / PowerShell) Windows Servers, including Hyper-V and VMWare Familiar with Cloud computing platforms (Azure, AWS) Imaging including MDT and MCS Windows driver management Printers and print management ITIL knowledge including change, problem, and incident management. In return, you will be rewarded with ongoing training and career development in a friendly and enjoyable team environment. 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.
13/06/2024
Full time
Prestigious opportunity with a UK Market Leader for an End User Computing Engineer to join our Digital Transformation. Following a period of significant growth, now the perfect time to join our success story! As our End User Computing Engineer you will be responsible for;- Managing and maintaining the Server and Citrix environment, including all aspects of digital desktop provision A multi-faceted role covering a wide range of systems and services, including Citrix, Print, Servers and incorporating anything affecting the end user experience Desktop and laptop imaging services, including standard builds Providing the delivery, monitoring, maintenance, and support of the Citrix environment that makes up the end user desktop experience (inc. print) whilst providing the escalation point for 2nd and 3rd Level support Part of the team to manage all elements of the infrastructure within the UK, this includes but is not limited to Cloud, Server, Applications, Integrations, network, communications, and security. Project work as well as BAU This role is office based however travel to and from profit centres and other locations is required. If you possess a combination of some of the following skills, then LETS TALK! Previous experience supporting Citrix and Windows Desktop environments Remote access, VPNs, Windows Server (AD / GPO / PowerShell) Windows Servers, including Hyper-V and VMWare Familiar with Cloud computing platforms (Azure, AWS) Imaging including MDT and MCS Windows driver management Printers and print management ITIL knowledge including change, problem, and incident management. In return, you will be rewarded with ongoing training and career development in a friendly and enjoyable team environment. 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.
Request Technology - Craig Johnson
Los Angeles (Downtown), California
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
12/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
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.
12/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Infrastructure Specialist Akkodis are currently working in partnership with a leading professional services provider to recruit an Infrastructure Specialist to join their global IT team. The Role As an Infrastructure Specialist you will work within the infrastructure team and help develop, maintain and support a global IT Infrastructure supporting 9,000+ staff across 100+ locations. As an Infrastructure Specialist you will have the opportunity to proactively improve, optimise, converge, and develop the infrastructure with future capacity in mind, managing multiple projects and responsibilities. You will provide advice and guidance on maintaining the cloud, server, network and security environments, to plan and instigate hardware and software upgrades as required, and to ensure that planned processes have been completed satisfactorily. The Responsibilities Monitor, support and maintain the global on-premise and cloud infrastructures. Manage the ongoing global migration from on-premise IT infrastructure into a cloud managed environment. Develop, manage, and implement infrastructure projects to deliver business wide initiatives. Respond to 2nd/3rd line Help Desk calls and manage such items through to resolution and other regular support activities and provide technical cover and mentoring. Perform regular preventative maintenance checks, check logs and Servers to ensure they are properly patched and implement corrective actions to resolve any issues. Manage the security and integrity of data and IT systems. Educating staff on good working practices. Management of external suppliers and support agencies for the ongoing support and maintenance of the global infrastructure environment. Take ownership to ensure that all work and changes are performed in such a way as to minimise all disruption to existing business use. Be proactive in designing and documenting infrastructure processes, procedures, and standards and to maintain or prepare system and software documentation as directed. Work with the Global IT team and collaborate on any global initiatives and rollouts. Manage the technical aspects of office moves and changes. Testing and rolling out updates to software with a particular emphasis on security updates. Ensuring that adequate backups of data are kept both on and off site and that backup and restore processes are regularly tested. The Requirements Enterprise working knowledge and support of the Microsoft 365 environment and Admin centre (Microsoft cloud technologies, M365, AzureAD, Defender ATP, EndPoint Manager, OneDrive, etc). Excellent understanding of Microsoft Technologies, Windows Servers (2012, 2016 & 2019) Active Directory and Group Policies. Comprehensive Experience with VMWare, vCentre, & ESXi. Good understanding of Storage, SAN, NAS & Backup Technologies. All round IT infrastructure specialist with at extensive hands-on experience. If you are looking for an exciting new challenge to join a leading global service provider, please apply now. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
12/06/2024
Full time
Infrastructure Specialist Akkodis are currently working in partnership with a leading professional services provider to recruit an Infrastructure Specialist to join their global IT team. The Role As an Infrastructure Specialist you will work within the infrastructure team and help develop, maintain and support a global IT Infrastructure supporting 9,000+ staff across 100+ locations. As an Infrastructure Specialist you will have the opportunity to proactively improve, optimise, converge, and develop the infrastructure with future capacity in mind, managing multiple projects and responsibilities. You will provide advice and guidance on maintaining the cloud, server, network and security environments, to plan and instigate hardware and software upgrades as required, and to ensure that planned processes have been completed satisfactorily. The Responsibilities Monitor, support and maintain the global on-premise and cloud infrastructures. Manage the ongoing global migration from on-premise IT infrastructure into a cloud managed environment. Develop, manage, and implement infrastructure projects to deliver business wide initiatives. Respond to 2nd/3rd line Help Desk calls and manage such items through to resolution and other regular support activities and provide technical cover and mentoring. Perform regular preventative maintenance checks, check logs and Servers to ensure they are properly patched and implement corrective actions to resolve any issues. Manage the security and integrity of data and IT systems. Educating staff on good working practices. Management of external suppliers and support agencies for the ongoing support and maintenance of the global infrastructure environment. Take ownership to ensure that all work and changes are performed in such a way as to minimise all disruption to existing business use. Be proactive in designing and documenting infrastructure processes, procedures, and standards and to maintain or prepare system and software documentation as directed. Work with the Global IT team and collaborate on any global initiatives and rollouts. Manage the technical aspects of office moves and changes. Testing and rolling out updates to software with a particular emphasis on security updates. Ensuring that adequate backups of data are kept both on and off site and that backup and restore processes are regularly tested. The Requirements Enterprise working knowledge and support of the Microsoft 365 environment and Admin centre (Microsoft cloud technologies, M365, AzureAD, Defender ATP, EndPoint Manager, OneDrive, etc). Excellent understanding of Microsoft Technologies, Windows Servers (2012, 2016 & 2019) Active Directory and Group Policies. Comprehensive Experience with VMWare, vCentre, & ESXi. Good understanding of Storage, SAN, NAS & Backup Technologies. All round IT infrastructure specialist with at extensive hands-on experience. If you are looking for an exciting new challenge to join a leading global service provider, please apply now. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
ServiceNow Developers 6 months Remote BPSS £600 per day inside IR35 Edge Encryption >Cloud Encryption & Vault implementation ServiceNow Platform security technical specialists: 5 + years development experience with ServiceNow, specialising in platform security and instance hardening Experience with analysing and understanding complex, custom ServiceNow environments Experience with Edge Encryption, ideally migration from Edge to Cloud encryption. Experience running technical workshops, creating technical designs and recommending solutions aligned to ServiceNow best practice Experience with ServiceNow, specialising in platform security, specifically ServiceNow Vault capabilities Experience with analysing and understanding complex, custom ServiceNow environments Experience with design and implementation of Vault features including Data Classification, Data Anonymization, Data Discovery and Zero Trust Access. Experience with implementing column level encryption, ACLs and other access controls eg data filtration. If you meet the above requirements, please apply for the vacancy to be contacted by an Experis Consultant. If you haven't been contacted within 2 weeks of application, please consider the vacancy closed.
12/06/2024
Project-based
ServiceNow Developers 6 months Remote BPSS £600 per day inside IR35 Edge Encryption >Cloud Encryption & Vault implementation ServiceNow Platform security technical specialists: 5 + years development experience with ServiceNow, specialising in platform security and instance hardening Experience with analysing and understanding complex, custom ServiceNow environments Experience with Edge Encryption, ideally migration from Edge to Cloud encryption. Experience running technical workshops, creating technical designs and recommending solutions aligned to ServiceNow best practice Experience with ServiceNow, specialising in platform security, specifically ServiceNow Vault capabilities Experience with analysing and understanding complex, custom ServiceNow environments Experience with design and implementation of Vault features including Data Classification, Data Anonymization, Data Discovery and Zero Trust Access. Experience with implementing column level encryption, ACLs and other access controls eg data filtration. If you meet the above requirements, please apply for the vacancy to be contacted by an Experis Consultant. If you haven't been contacted within 2 weeks of application, please consider the vacancy closed.
SAPUI5/SAP Fiori Developer - oData V2 - Netweaver Gateway activities - GIT/Git Lab/GitHub- Kubernetes - Hybrid Empiric has received an exciting opportunity for a SAPUI5/SAP Fiori Developer with SAPUI5 and oData protocol as well as good experience working with GIT/Git Lab/GitHub. The SAPUI5/SAP Fiori specialist should also have excellent troubleshooting and debugging skills, together with being well versed with Agile Methodology. This exciting opportunity role will help expand your SAPUI5 skill, whilst working with one of the world's most innovative tech companies, the experience gained in this role will be significantly beneficial your future career. Skills/experience: SAPUI5 SAP Fiori GIT/Git Lab/GitHub SAP Solution Manager oData V2 Netweaver Gateway activities Javascript HTML5, CSS3 Agile Term: 6 to 12 months plus possible extensions Rate: Excellent day rate + Starter Bonus + Free Lunch Club experience This is a critical position, so contact Woody for a confidential chat and more details (see below) Empiric is one of the fastest-growing technology and transformation recruitment agency's specialising in data, digital, cloud and security. We supply technology and change recruitment services to businesses looking for both contract and permanent professionals. We are committed to delivering more female candidates and those from minority backgrounds and be instrumental in changing the gender and diversity imbalance within the tech sector. Empiric Solutions is acting as an Employment Agency in relation to this vacancy.
12/06/2024
Project-based
SAPUI5/SAP Fiori Developer - oData V2 - Netweaver Gateway activities - GIT/Git Lab/GitHub- Kubernetes - Hybrid Empiric has received an exciting opportunity for a SAPUI5/SAP Fiori Developer with SAPUI5 and oData protocol as well as good experience working with GIT/Git Lab/GitHub. The SAPUI5/SAP Fiori specialist should also have excellent troubleshooting and debugging skills, together with being well versed with Agile Methodology. This exciting opportunity role will help expand your SAPUI5 skill, whilst working with one of the world's most innovative tech companies, the experience gained in this role will be significantly beneficial your future career. Skills/experience: SAPUI5 SAP Fiori GIT/Git Lab/GitHub SAP Solution Manager oData V2 Netweaver Gateway activities Javascript HTML5, CSS3 Agile Term: 6 to 12 months plus possible extensions Rate: Excellent day rate + Starter Bonus + Free Lunch Club experience This is a critical position, so contact Woody for a confidential chat and more details (see below) Empiric is one of the fastest-growing technology and transformation recruitment agency's specialising in data, digital, cloud and security. We supply technology and change recruitment services to businesses looking for both contract and permanent professionals. We are committed to delivering more female candidates and those from minority backgrounds and be instrumental in changing the gender and diversity imbalance within the tech sector. Empiric Solutions is acting as an Employment Agency in relation to this vacancy.
Principal GCP Data Engineer Remote Up to £85,000 VIQU are seeking Principal GCP Data Engineer to join a leading social enterprise working to transform lives by developing and managing vibrant communities. They excel in placemaking, regeneration, development, investment, property management, and leisure services. With a dedicated team across numerous specialist subsidiaries, they create thriving environments and reinvest profits to enhance community projects, ensuring sustainable and flourishing communities. The successful Principal GCP Data Engineer will be responsible for ensuring robust and compliant data processes on Google Cloud Platform. The key responsibilities of the role will include data ingestion, quality, modelling, transformation, security, and monitoring. The Principal GCP Data Engineer will also be involved in automation, process improvement, mentoring engineers, setting coding standards, and optimising queries. The Principal Data Engineer will work in collaboration with the Principal Cloud Engineer and Data Architect, as it is key to designing reliable data pipelines and communicating solutions to both technical and non-technical stakeholders. Requirements of the Principal GCP Data Engineer: Minimum of 7 years in Data Engineering roles Minimum of 3 years hands-on and expert proficiency in GCP (Google Cloud Platform) Demonstrated leadership experience. An extensive ETL/ELT background developing data pipelines, optimising queries, and enhancing overall database performance. Deep expertise in SQL and Data Lake/Warehouse solutions Advanced skills in programming languages such as SQL, Python, Java, or Scala Extensive knowledge of query optimisation techniques and a proven track record in refining complex SQL queries Comprehensive understanding of Data Governance principles, including Data Dictionaries, Master Data Management (MDM), Data Lineage, Data Privacy laws, and Personal Identifiable Information (PII) management Familiarity with Agile methodologies, Scrum framework, and the Software Development Life Cycle (SDLC) Willing to undergo DBS Check To discuss this opportunity further, APPLY NOW for a confidential conversation with your VIQU Consultant. For additional information, contact Katie Dark. If you refer someone ideal for this role, VIQU offers an introduction fee up to £1,000 once your referral starts work with our client (terms apply). Principal GCP Data Engineer Remote Up to £85,000
11/06/2024
Full time
Principal GCP Data Engineer Remote Up to £85,000 VIQU are seeking Principal GCP Data Engineer to join a leading social enterprise working to transform lives by developing and managing vibrant communities. They excel in placemaking, regeneration, development, investment, property management, and leisure services. With a dedicated team across numerous specialist subsidiaries, they create thriving environments and reinvest profits to enhance community projects, ensuring sustainable and flourishing communities. The successful Principal GCP Data Engineer will be responsible for ensuring robust and compliant data processes on Google Cloud Platform. The key responsibilities of the role will include data ingestion, quality, modelling, transformation, security, and monitoring. The Principal GCP Data Engineer will also be involved in automation, process improvement, mentoring engineers, setting coding standards, and optimising queries. The Principal Data Engineer will work in collaboration with the Principal Cloud Engineer and Data Architect, as it is key to designing reliable data pipelines and communicating solutions to both technical and non-technical stakeholders. Requirements of the Principal GCP Data Engineer: Minimum of 7 years in Data Engineering roles Minimum of 3 years hands-on and expert proficiency in GCP (Google Cloud Platform) Demonstrated leadership experience. An extensive ETL/ELT background developing data pipelines, optimising queries, and enhancing overall database performance. Deep expertise in SQL and Data Lake/Warehouse solutions Advanced skills in programming languages such as SQL, Python, Java, or Scala Extensive knowledge of query optimisation techniques and a proven track record in refining complex SQL queries Comprehensive understanding of Data Governance principles, including Data Dictionaries, Master Data Management (MDM), Data Lineage, Data Privacy laws, and Personal Identifiable Information (PII) management Familiarity with Agile methodologies, Scrum framework, and the Software Development Life Cycle (SDLC) Willing to undergo DBS Check To discuss this opportunity further, APPLY NOW for a confidential conversation with your VIQU Consultant. For additional information, contact Katie Dark. If you refer someone ideal for this role, VIQU offers an introduction fee up to £1,000 once your referral starts work with our client (terms apply). Principal GCP Data Engineer Remote Up to £85,000
Job Description: Title: Genesys SME Duration: 6 weeks Location: Remote We are IT Recruitment Specialists partnered with a prestigious Global Consultancy who required a Voice Architect(Need Active Security Clearance) for one of their Clients based in Barrow/Hybrid (Approx 10% of time spent onsite). IR35: This role is Inside of IR35 Job Description: As a Genesys Subject Matter Expert (SME), you will be responsible for providing in-depth expertise, guidance, and support for the design, implementation, and optimization of Genesys contact center solutions. Leveraging your deep understanding of Genesys technologies and best practices, you will collaborate with cross-functional teams to drive the successful deployment and ongoing management of Genesys-based contact center environments. Responsibilities: Solution Design and Architecture: Lead the design and architecture of Genesys contact center solutions, ensuring alignment with business requirements, industry best practices, and scalability. Define system architecture, component configurations, integration points, and technical specifications based on business needs and objectives. Implementation and Configuration: Configure and customize Genesys software components, modules, and features to meet specific business requirements and use cases. Collaborate with internal IT teams, vendors, and partners to implement Genesys solutions, ensuring seamless integration with existing systems and applications. Technical Consultation and Support: Provide expert guidance, advice, and troubleshooting support to internal teams, customers, and partners on Genesys-related technical issues, challenges, and solutions. Serve as a trusted advisor on Genesys technologies, capabilities, and best practices, helping stakeholders maximize the value of their Genesys investments. Performance Optimization and Tuning: Identify opportunities to optimize performance, efficiency, and scalability of Genesys contact center environments through system tuning, configuration adjustments, and capacity planning. Conduct performance assessments, diagnostic analyses, and tuning activities to ensure optimal performance under varying workloads and conditions. Training and Knowledge Transfer: Develop and deliver training sessions, workshops, and educational materials to internal teams and stakeholders on Genesys products, features, and implementation methodologies. Facilitate knowledge sharing and collaboration within the organization to build internal expertise and capabilities in Genesys technologies. Vendor Management and Relationship Building: Build and maintain relationships with Genesys representatives, partners, and ecosystem vendors to stay informed about product updates, roadmap developments, and industry trends. Collaborate with Genesys ecosystem partners to leverage complementary technologies and solutions that enhance the capabilities and value proposition of Genesys contact center offerings. Skills and qualifications: Bachelor's or master's degree in computer science, Information Technology, or related field. 10+ years of experience in contact center technology implementation, with a focus on Genesys solutions. Deep expertise in Genesys PureConnect, PureCloud, or PureEngage platforms, including configuration, administration, and integration capabilities. Strong understanding of contact center concepts, architectures, protocols, and standards (eg, SIP, VoIP, CTI, ACD, IVR). Excellent troubleshooting, analytical, and problem-solving skills, with the ability to diagnose and resolve complex technical issues. Effective communication, collaboration, and stakeholder management skills. Genesys certifications such as Genesys Certified Professional (GCP), Genesys Certified Associate (GCA), or equivalent are highly desirable. If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.
10/06/2024
Project-based
Job Description: Title: Genesys SME Duration: 6 weeks Location: Remote We are IT Recruitment Specialists partnered with a prestigious Global Consultancy who required a Voice Architect(Need Active Security Clearance) for one of their Clients based in Barrow/Hybrid (Approx 10% of time spent onsite). IR35: This role is Inside of IR35 Job Description: As a Genesys Subject Matter Expert (SME), you will be responsible for providing in-depth expertise, guidance, and support for the design, implementation, and optimization of Genesys contact center solutions. Leveraging your deep understanding of Genesys technologies and best practices, you will collaborate with cross-functional teams to drive the successful deployment and ongoing management of Genesys-based contact center environments. Responsibilities: Solution Design and Architecture: Lead the design and architecture of Genesys contact center solutions, ensuring alignment with business requirements, industry best practices, and scalability. Define system architecture, component configurations, integration points, and technical specifications based on business needs and objectives. Implementation and Configuration: Configure and customize Genesys software components, modules, and features to meet specific business requirements and use cases. Collaborate with internal IT teams, vendors, and partners to implement Genesys solutions, ensuring seamless integration with existing systems and applications. Technical Consultation and Support: Provide expert guidance, advice, and troubleshooting support to internal teams, customers, and partners on Genesys-related technical issues, challenges, and solutions. Serve as a trusted advisor on Genesys technologies, capabilities, and best practices, helping stakeholders maximize the value of their Genesys investments. Performance Optimization and Tuning: Identify opportunities to optimize performance, efficiency, and scalability of Genesys contact center environments through system tuning, configuration adjustments, and capacity planning. Conduct performance assessments, diagnostic analyses, and tuning activities to ensure optimal performance under varying workloads and conditions. Training and Knowledge Transfer: Develop and deliver training sessions, workshops, and educational materials to internal teams and stakeholders on Genesys products, features, and implementation methodologies. Facilitate knowledge sharing and collaboration within the organization to build internal expertise and capabilities in Genesys technologies. Vendor Management and Relationship Building: Build and maintain relationships with Genesys representatives, partners, and ecosystem vendors to stay informed about product updates, roadmap developments, and industry trends. Collaborate with Genesys ecosystem partners to leverage complementary technologies and solutions that enhance the capabilities and value proposition of Genesys contact center offerings. Skills and qualifications: Bachelor's or master's degree in computer science, Information Technology, or related field. 10+ years of experience in contact center technology implementation, with a focus on Genesys solutions. Deep expertise in Genesys PureConnect, PureCloud, or PureEngage platforms, including configuration, administration, and integration capabilities. Strong understanding of contact center concepts, architectures, protocols, and standards (eg, SIP, VoIP, CTI, ACD, IVR). Excellent troubleshooting, analytical, and problem-solving skills, with the ability to diagnose and resolve complex technical issues. Effective communication, collaboration, and stakeholder management skills. Genesys certifications such as Genesys Certified Professional (GCP), Genesys Certified Associate (GCA), or equivalent are highly desirable. If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.