NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Consultant of PQC and Applied Cryptography and Standardization 1 year freelance contract + extensions after Client's Research Center - Paris, France/Remote About us Founded in 2010, Shield Lab leads the research of cryptography and information security at our client. We identify key security problems that challenge traditional security fundamentals in emerging ICT applications, such as 5G mobile networks, cloud computing and mobile Internet services. We conduct leading-edge research projects, and deliver innovative outputs in the area of cryptography and information security that help our corporation to establish competiveness in enterprise, consumer and operator markets. Position Summary: We are expanding the team by recruiting a talented, highly motivated senior or junior consultant in PQC, applied cryptography and standardization. Candidates should have solid knowledge in cryptographic algorithms and security protocols and rich experience for standardizing cryptographic algorithms and/or security protocols in international bodies (IETF, ISO, IEEE etc). Successful candidate will join a team of cryptographic experts to conduct world-class research in PQC and applied cryptography. They will participate in the analysis of emerging security threats, design innovative solutions. Internationally competitive salary package will be offered to qualified candidate. Duties & Responsibilities: Develop solutions for real-world security problems. Implement innovative solutions according to security requirements from our client's product lines while fulfilling various constraints imposed by aspects such as compliance, manufacturing process, hardware capability, performance, cost, etc. Develop prototypes and deliver results. Standardizecryptographic algorithms and security protocols at international bodies. Develop standardizing plans and collaborate with colleagues for standardization activities. Participate and standardize related technologies in cryptographic algorithms and security protocols at various international bodies, including IETF, ISO, and IEEE. Prepare standardization documents, and develop running code when necessary. Desired Skills & Experience Skills/Qualifications: Hold M.Sc or Ph.D. degree in Mathematics, Cryptography, Computer Science, Computer Engineering, Electrical Engineering, or related field. Have 5 or more years of work experience in areas related to information security and/or applied cryptography and/or PQC. Rich standardization experience in international bodies, like IETF, ISO, IEEE, ETSI. Solid skills in at least one programming language, like C, C++, Java, Python, or Shell Scripts. Excellent written and verbal communications skills in English. Self-motivated with strong sense of responsibility. Strong interpersonal and problem solving skills. Knowledge in multiple areas ofcryptology is desirable, including but not limited to: Post-quantum cryptography and its migration Public-key cryptography algorithms and proof skills Symmetric key algorithms and analysis Formal verification tools and modelling Applied cryptography (eg authentication protocols, key exchange protocols) Internet security protocols (eg TLS, IPSec, IKEv2, telephony-based security protocols) Foundations & solutions for real-world cryptography.
17/05/2024
Project-based
Consultant of PQC and Applied Cryptography and Standardization 1 year freelance contract + extensions after Client's Research Center - Paris, France/Remote About us Founded in 2010, Shield Lab leads the research of cryptography and information security at our client. We identify key security problems that challenge traditional security fundamentals in emerging ICT applications, such as 5G mobile networks, cloud computing and mobile Internet services. We conduct leading-edge research projects, and deliver innovative outputs in the area of cryptography and information security that help our corporation to establish competiveness in enterprise, consumer and operator markets. Position Summary: We are expanding the team by recruiting a talented, highly motivated senior or junior consultant in PQC, applied cryptography and standardization. Candidates should have solid knowledge in cryptographic algorithms and security protocols and rich experience for standardizing cryptographic algorithms and/or security protocols in international bodies (IETF, ISO, IEEE etc). Successful candidate will join a team of cryptographic experts to conduct world-class research in PQC and applied cryptography. They will participate in the analysis of emerging security threats, design innovative solutions. Internationally competitive salary package will be offered to qualified candidate. Duties & Responsibilities: Develop solutions for real-world security problems. Implement innovative solutions according to security requirements from our client's product lines while fulfilling various constraints imposed by aspects such as compliance, manufacturing process, hardware capability, performance, cost, etc. Develop prototypes and deliver results. Standardizecryptographic algorithms and security protocols at international bodies. Develop standardizing plans and collaborate with colleagues for standardization activities. Participate and standardize related technologies in cryptographic algorithms and security protocols at various international bodies, including IETF, ISO, and IEEE. Prepare standardization documents, and develop running code when necessary. Desired Skills & Experience Skills/Qualifications: Hold M.Sc or Ph.D. degree in Mathematics, Cryptography, Computer Science, Computer Engineering, Electrical Engineering, or related field. Have 5 or more years of work experience in areas related to information security and/or applied cryptography and/or PQC. Rich standardization experience in international bodies, like IETF, ISO, IEEE, ETSI. Solid skills in at least one programming language, like C, C++, Java, Python, or Shell Scripts. Excellent written and verbal communications skills in English. Self-motivated with strong sense of responsibility. Strong interpersonal and problem solving skills. Knowledge in multiple areas ofcryptology is desirable, including but not limited to: Post-quantum cryptography and its migration Public-key cryptography algorithms and proof skills Symmetric key algorithms and analysis Formal verification tools and modelling Applied cryptography (eg authentication protocols, key exchange protocols) Internet security protocols (eg TLS, IPSec, IKEv2, telephony-based security protocols) Foundations & solutions for real-world cryptography.
Job Title: Technology Architect Location: UK/London, Remote Salary : 80-90K Contract Type: Full Time About The Company You will be joining a team of creators and champions of the best British TV, and hosts to the world's largest collection. Who are on a mission to bring the most engaging and relevant British TV experience to fans all around the world. Job Purpose This creative company is on the lookout for a dynamic Technology Architect to join their passionate team, focusing on creating and refining scalable video streaming products with a global scope. This pivotal role is Embedded within a diverse and skilled team, where creativity, collaboration, and a commitment to quality are highly valued. As a Technology Architect, you'll play a crucial role in both contributing to and shaping the team's strategy and technological direction. Your responsibilities will include working closely with the Lead Solution Architect in a hands-on capacity, directly influencing and shaping their pioneering global video streaming services. You'll engage in various projects, from enhancing current streaming platforms to designing innovative solutions for global content delivery, ensuring that the organisation continue to offer top tier streaming experiences. A Technical Architect would: Have a solid understanding of cloud services like AWS or MSFT Azure and how they can be leveraged in different scenarios. Translate technical requirements into detailed architecture for robust and scalable systems. Work closely with development teams to understand their needs and assist in implementing CI/CD pipelines. Have experience with software development processes and be able to guide and support teams in adhering to best practices. Act as a bridge between the technical team and the Lead Solution Architect, ensuring that the technical details align with the overall solution architecture. Responsibilities Technical Leadership Collaborate closely with the Lead Architect and act as a key member in technology sessions, providing technical expertise and oversight on new and existing solutions. Oversee 3rd party application architectures and integration's while ensuring best practices and compliance with corporate policies and standards. Demonstrate the ability to work autonomously, taking direction and executing with precision. Provide technical oversight to product development, support, and quality assurance teams. Analyse existing systems and identify areas for improvement or optimization. Evaluate new technologies and trends to propose enhancements or updates to the current systems. Knowledge and experience with specific technologies and tools, such as Kubernetes, Docker, .Net, Python, or Node.js, are highly desirable. Business & Analysis Monitor service operations performance, ensuring core KPIs are met. Oversee SLA reporting and conduct ad hoc analysis, providing transparency into the global technology stack's performance. Act as an internal technology consultant, leading and managing strategic projects with a proactive approach. Collaborate across all stakeholder teams to understand business needs and goals. Document and prioritise requirements alongside the product team, with consideration for both functional and non-functional aspects. Develop detailed use cases and user stories that outline specific interactions and workflows. Skills and Personal Attributes Strong analytical skills to assess and resolve issues quickly and effectively. Demonstrable experience in Software Engineering and Architecture. Ability to translate business and operational requirements into solution designs. Strong communication skills and the ability to work autonomously given direction. Proactivity and a strong desire to take initiative. Familiarity with Agile working practices. Willingness to learn and adapt to new technologies and changes. Effectively managing one's own time and prioritising tasks to meet deadlines. Understanding and respect for diverse cultures and practices. Qualifications and Experience AWS Certified Solutions Architect-Associate or Professional is highly desirable. Mid-level experience in software design patterns and cloud-based solutions. Must have experience with AWS; knowledge of Azure is a plus. Experience in developing direct-to-consumer technologies and cloud-scale microservices development. Experience with OTT (Over-The-Top) is a strong plus. Knowledge of scalable digital consumer product architectures, preferably in SVOD and/or media supply chain areas Familiarity with connected TV platforms (Roku, tvOS, Samsung, LG, etc.) and mobile applications (iOS, Android), with an emphasis on understanding their architectures and integrations rather than hands-on development. If you are looking for a new opportunity and interested in thus role then please apply today! Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
17/05/2024
Full time
Job Title: Technology Architect Location: UK/London, Remote Salary : 80-90K Contract Type: Full Time About The Company You will be joining a team of creators and champions of the best British TV, and hosts to the world's largest collection. Who are on a mission to bring the most engaging and relevant British TV experience to fans all around the world. Job Purpose This creative company is on the lookout for a dynamic Technology Architect to join their passionate team, focusing on creating and refining scalable video streaming products with a global scope. This pivotal role is Embedded within a diverse and skilled team, where creativity, collaboration, and a commitment to quality are highly valued. As a Technology Architect, you'll play a crucial role in both contributing to and shaping the team's strategy and technological direction. Your responsibilities will include working closely with the Lead Solution Architect in a hands-on capacity, directly influencing and shaping their pioneering global video streaming services. You'll engage in various projects, from enhancing current streaming platforms to designing innovative solutions for global content delivery, ensuring that the organisation continue to offer top tier streaming experiences. A Technical Architect would: Have a solid understanding of cloud services like AWS or MSFT Azure and how they can be leveraged in different scenarios. Translate technical requirements into detailed architecture for robust and scalable systems. Work closely with development teams to understand their needs and assist in implementing CI/CD pipelines. Have experience with software development processes and be able to guide and support teams in adhering to best practices. Act as a bridge between the technical team and the Lead Solution Architect, ensuring that the technical details align with the overall solution architecture. Responsibilities Technical Leadership Collaborate closely with the Lead Architect and act as a key member in technology sessions, providing technical expertise and oversight on new and existing solutions. Oversee 3rd party application architectures and integration's while ensuring best practices and compliance with corporate policies and standards. Demonstrate the ability to work autonomously, taking direction and executing with precision. Provide technical oversight to product development, support, and quality assurance teams. Analyse existing systems and identify areas for improvement or optimization. Evaluate new technologies and trends to propose enhancements or updates to the current systems. Knowledge and experience with specific technologies and tools, such as Kubernetes, Docker, .Net, Python, or Node.js, are highly desirable. Business & Analysis Monitor service operations performance, ensuring core KPIs are met. Oversee SLA reporting and conduct ad hoc analysis, providing transparency into the global technology stack's performance. Act as an internal technology consultant, leading and managing strategic projects with a proactive approach. Collaborate across all stakeholder teams to understand business needs and goals. Document and prioritise requirements alongside the product team, with consideration for both functional and non-functional aspects. Develop detailed use cases and user stories that outline specific interactions and workflows. Skills and Personal Attributes Strong analytical skills to assess and resolve issues quickly and effectively. Demonstrable experience in Software Engineering and Architecture. Ability to translate business and operational requirements into solution designs. Strong communication skills and the ability to work autonomously given direction. Proactivity and a strong desire to take initiative. Familiarity with Agile working practices. Willingness to learn and adapt to new technologies and changes. Effectively managing one's own time and prioritising tasks to meet deadlines. Understanding and respect for diverse cultures and practices. Qualifications and Experience AWS Certified Solutions Architect-Associate or Professional is highly desirable. Mid-level experience in software design patterns and cloud-based solutions. Must have experience with AWS; knowledge of Azure is a plus. Experience in developing direct-to-consumer technologies and cloud-scale microservices development. Experience with OTT (Over-The-Top) is a strong plus. Knowledge of scalable digital consumer product architectures, preferably in SVOD and/or media supply chain areas Familiarity with connected TV platforms (Roku, tvOS, Samsung, LG, etc.) and mobile applications (iOS, Android), with an emphasis on understanding their architectures and integrations rather than hands-on development. If you are looking for a new opportunity and interested in thus role then please apply today! Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
Senior Electronics Engineer Lynx is representing a rapidly growing company in Bristol, seeking an innovative Senior Electronics Engineer to join a team developing next-generation detection and sensing systems. You will play a leading role evolving cutting-edge products from concept through production. You Will: Drive analog and mixed-signal circuit design, analysis, prototyping and testing Define and execute technology roadmaps, research, system architecture Lead projects and cross-functional engineering teams Collaborate with software, production and field teams Mentor and develop junior engineers Author documentation, interface with customers We Require: Degree in electronics engineering or equivalent 8+ years hands-on hardware development experience Specialization in analog IC design, instrumentation, test philosophy Leadership: strategising, directing projects, motivating teams Programming: Python, MATLAB preferred Creative problem-solving, fast learner, passion for innovation We Offer: Competitive salary up to £70k Hybrid remote/office work environment Flexible hours, parental leave, sabbatical options Chance to pioneer future of detection technologies Learning/development budget New, modern and accessible facilities Relocation assistance available If you want to create breakthrough engineered products that push boundaries, we would love to hear from you. Apply today!
17/05/2024
Full time
Senior Electronics Engineer Lynx is representing a rapidly growing company in Bristol, seeking an innovative Senior Electronics Engineer to join a team developing next-generation detection and sensing systems. You will play a leading role evolving cutting-edge products from concept through production. You Will: Drive analog and mixed-signal circuit design, analysis, prototyping and testing Define and execute technology roadmaps, research, system architecture Lead projects and cross-functional engineering teams Collaborate with software, production and field teams Mentor and develop junior engineers Author documentation, interface with customers We Require: Degree in electronics engineering or equivalent 8+ years hands-on hardware development experience Specialization in analog IC design, instrumentation, test philosophy Leadership: strategising, directing projects, motivating teams Programming: Python, MATLAB preferred Creative problem-solving, fast learner, passion for innovation We Offer: Competitive salary up to £70k Hybrid remote/office work environment Flexible hours, parental leave, sabbatical options Chance to pioneer future of detection technologies Learning/development budget New, modern and accessible facilities Relocation assistance available If you want to create breakthrough engineered products that push boundaries, we would love to hear from you. Apply today!
Python Developers join our team as a Python Expert. You will be responsible for developing and maintaining software applications and databases to support complex financial operations, and supporting the work of financial institutions responsible for financial stability across Europe. This role is avaliable as a fully remote position, however work must be compelted within the European Union. Interested? Share your Europass CV, showing your fit with the following requirements: 6+ years of experience in software engineering with Python and SQL in a professional environment. Bachelor's degree in information technology, Mathematics, Physics, or similar field, and/or equivalent professional experience. Experience with continuous integration and continuous delivery pipelines, such as Jenkins, Azure Pipelines. Good understanding of a cloud-based microservice architecture, Experience with specialized Python data management libraries, including SQLAlchemy, DBT, Airflow/Luigi, Pandera. Practical experience with SQL database development and data domain modelling. Good technical writing and documentation skills. Fluent English If you have a passion for Python development and are looking for a challenging opportunity, this company wants to hear from you!
16/05/2024
Full time
Python Developers join our team as a Python Expert. You will be responsible for developing and maintaining software applications and databases to support complex financial operations, and supporting the work of financial institutions responsible for financial stability across Europe. This role is avaliable as a fully remote position, however work must be compelted within the European Union. Interested? Share your Europass CV, showing your fit with the following requirements: 6+ years of experience in software engineering with Python and SQL in a professional environment. Bachelor's degree in information technology, Mathematics, Physics, or similar field, and/or equivalent professional experience. Experience with continuous integration and continuous delivery pipelines, such as Jenkins, Azure Pipelines. Good understanding of a cloud-based microservice architecture, Experience with specialized Python data management libraries, including SQLAlchemy, DBT, Airflow/Luigi, Pandera. Practical experience with SQL database development and data domain modelling. Good technical writing and documentation skills. Fluent English If you have a passion for Python development and are looking for a challenging opportunity, this company wants to hear from you!
Director, AI and Data Science Salary: Open + Bonus Available in any of the following locations: Chicago, IL/Houston, TX/Salt Lake City, UT Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. 10+ years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector.
14/05/2024
Full time
Director, AI and Data Science Salary: Open + Bonus Available in any of the following locations: Chicago, IL/Houston, TX/Salt Lake City, UT Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. 10+ years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
14/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
14/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
ASSOCIATE PRINCIPAL, APPIAN SOFTWARE ENGINEERING SALARY: $140k - $145k - $152k plus 15% bonus LOCATION: Chicago, IL Hybrid 3 days onsite, 2 days remote Looking for someone to design development testing and do the implementation of appian software. You will need 5 years Front End user experience, JavaScript automating workflows inside appian aws unix linux Java python node js angular 2.0 or react js and Middleware technologies. Working knowledge of devops terraform ansible Jenkins Kubernetes helm and cicd pipelines. Must have a degree and be apian certified developer required Contribute to design, technical direction and architecture including collaborating with various teams to build fit for purpose solutions. Applies expert knowledge of Java, Python, JavaScript, NodeJS, Angular 2.0 or ReactJS and middle-ware technologies in independently designing and developing key services with a focus on continuous integration and delivery Participates in code reviews, proactively identifying and mitigating potential issues and defects as well as assisting with continuous improvement Drives continuous improvement efforts by identifying and championing practical means of reducing time to market while maintaining high quality Qualifications: 5+ years of Front End, User Experience, development (required) 5+ years of experience in JavaScript skills (required) 3 + years of experience automating workflows inside Appian and in conjunction with integration to other tools (required) 3+ years of experience in React application development (required) 3+ years of hands-on HTML5/CSS3 experience (required) Experience with Java and/or Python (required) Experience with popular Javascript frameworks such as React, Node JS, Vue, Angular 2.0 (required) Experience of working with websockets, HTTP 1.1 and HTTP/2 (required) Experience with RESTful APIs and JSON RPC (required) Ability to write clean, bug-free code that is easy to understand and easily maintainable (required) Experience with BDD methodologies & automated acceptance testing (required) Technical Skills: 5+ years hands-on experience in Java, including good understanding of Java fundamentals such as Memory Model, Runtime Environment, Concurrency and Multithreading (required) Past/Current experience of 3+ years working on a large scale cloud native project (platform: Unix/Linux, Type of Systems: event-driven/transaction processing/high performance computing) as Technical Lead. These experiences should include developing/architecting core libraries or framework used by the platform to support fundamental services like storage, alert notifications, security, etc. (required) Appian Process Modeling, Smart Services, Rules and Tempo event services, database, and Web services (required) Experience with cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Experience working with various types of databases like Relational, NoSQL, Object-based, Graph (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required) Familiarity with monitoring related tools and frameworks like Splunk, ElasticSearch, Prometheus, AppDynamics (required) Education and/or Experience: BS degree in Computer Science, similar technical field Appian certified developer
13/05/2024
Full time
ASSOCIATE PRINCIPAL, APPIAN SOFTWARE ENGINEERING SALARY: $140k - $145k - $152k plus 15% bonus LOCATION: Chicago, IL Hybrid 3 days onsite, 2 days remote Looking for someone to design development testing and do the implementation of appian software. You will need 5 years Front End user experience, JavaScript automating workflows inside appian aws unix linux Java python node js angular 2.0 or react js and Middleware technologies. Working knowledge of devops terraform ansible Jenkins Kubernetes helm and cicd pipelines. Must have a degree and be apian certified developer required Contribute to design, technical direction and architecture including collaborating with various teams to build fit for purpose solutions. Applies expert knowledge of Java, Python, JavaScript, NodeJS, Angular 2.0 or ReactJS and middle-ware technologies in independently designing and developing key services with a focus on continuous integration and delivery Participates in code reviews, proactively identifying and mitigating potential issues and defects as well as assisting with continuous improvement Drives continuous improvement efforts by identifying and championing practical means of reducing time to market while maintaining high quality Qualifications: 5+ years of Front End, User Experience, development (required) 5+ years of experience in JavaScript skills (required) 3 + years of experience automating workflows inside Appian and in conjunction with integration to other tools (required) 3+ years of experience in React application development (required) 3+ years of hands-on HTML5/CSS3 experience (required) Experience with Java and/or Python (required) Experience with popular Javascript frameworks such as React, Node JS, Vue, Angular 2.0 (required) Experience of working with websockets, HTTP 1.1 and HTTP/2 (required) Experience with RESTful APIs and JSON RPC (required) Ability to write clean, bug-free code that is easy to understand and easily maintainable (required) Experience with BDD methodologies & automated acceptance testing (required) Technical Skills: 5+ years hands-on experience in Java, including good understanding of Java fundamentals such as Memory Model, Runtime Environment, Concurrency and Multithreading (required) Past/Current experience of 3+ years working on a large scale cloud native project (platform: Unix/Linux, Type of Systems: event-driven/transaction processing/high performance computing) as Technical Lead. These experiences should include developing/architecting core libraries or framework used by the platform to support fundamental services like storage, alert notifications, security, etc. (required) Appian Process Modeling, Smart Services, Rules and Tempo event services, database, and Web services (required) Experience with cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Experience working with various types of databases like Relational, NoSQL, Object-based, Graph (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required) Familiarity with monitoring related tools and frameworks like Splunk, ElasticSearch, Prometheus, AppDynamics (required) Education and/or Experience: BS degree in Computer Science, similar technical field Appian certified developer
Our client a growing technology consultancy based in Suffolk, is recruiting the services of two Python Software Engineers on a permanent basis. This role would suit a mid-level developer looking to move into a more senior/team lead role, and another role which would suit a junior/mid-level developer. Candidates will ideally have several years' experience of coding in Python in a commercial environment. The role can be based remotely, although our client is based in Suffolk so occasional travel will be expected. The successful candidate will be required to help to develop test products, mentor junior team members, and also provide excellent technical support on an on-going basis. Key Skills Proven experience of software development using Python Being proactive and have the ability to debug and solve complex problems Ability to understand and break down project requirements Knowledge in software development methodologies such as Agile or iterative development Experience of Flask and Open API would be desirable Some networking knowledge/experience (IP, TCP/UDP, routing, Firewalls) preferred Please apply with your CV for more information on this opportunity.
13/05/2024
Full time
Our client a growing technology consultancy based in Suffolk, is recruiting the services of two Python Software Engineers on a permanent basis. This role would suit a mid-level developer looking to move into a more senior/team lead role, and another role which would suit a junior/mid-level developer. Candidates will ideally have several years' experience of coding in Python in a commercial environment. The role can be based remotely, although our client is based in Suffolk so occasional travel will be expected. The successful candidate will be required to help to develop test products, mentor junior team members, and also provide excellent technical support on an on-going basis. Key Skills Proven experience of software development using Python Being proactive and have the ability to debug and solve complex problems Ability to understand and break down project requirements Knowledge in software development methodologies such as Agile or iterative development Experience of Flask and Open API would be desirable Some networking knowledge/experience (IP, TCP/UDP, routing, Firewalls) preferred Please apply with your CV for more information on this opportunity.
DevSecOps Senior & Team Lead (Public Transport) 50% remote, 50% on-site in Brussels Do you want to lead a high-performing DevSecOps team and make a real impact in the public transport sector? We are looking for a talented and experienced DevSecOps Senior & Team Lead to join my client's team. In this role, you will be responsible for leading a team of technical professionals and driving innovation in our DevSecOps practices. About the role Lead and motivate a team of 6-10 engineers (junior, mid-level, and senior) Foster a collaborative and positive work environment Ensure efficient and timely delivery of projects Manage budgets and resources effectively Possess excellent communication and interpersonal skills Be able to work effectively under pressure and prioritize tasks Work with a customer-centric approach and maintain confidentiality Technical Skills and Experience Master's degree in engineering or computer science (or equivalent experience) Proven experience leading a technical team Experience with Agile methodologies Strong understanding of Linux operating systems (Red Hat) and Scripting (Bash, Python) Fluency in Dutch, French, and English Solid experience with cybersecurity for OT infrastructure Experience working in a production environment Basic knowledge of Javascript and Java Basic understanding of network administration (Routers, Switches, VPNs, Firewalls) A plus: Certifications: CISSP, CISM, ISO 27001 Experience with DevSecOps tools: Puppet (open source), Ansible Monitoring tools: Zabbix, Nagios Logging and analytics: Elastic Stack (including Kibana) Database technologies: MySQL, PostgreSQL Atlassian suite (Jira, Confluence, Git) VMWare (vCenter) Git version control Configuration Management Databases (CMDBs) like GLPI For immediate consideration, please forward your latest CV.
13/05/2024
Project-based
DevSecOps Senior & Team Lead (Public Transport) 50% remote, 50% on-site in Brussels Do you want to lead a high-performing DevSecOps team and make a real impact in the public transport sector? We are looking for a talented and experienced DevSecOps Senior & Team Lead to join my client's team. In this role, you will be responsible for leading a team of technical professionals and driving innovation in our DevSecOps practices. About the role Lead and motivate a team of 6-10 engineers (junior, mid-level, and senior) Foster a collaborative and positive work environment Ensure efficient and timely delivery of projects Manage budgets and resources effectively Possess excellent communication and interpersonal skills Be able to work effectively under pressure and prioritize tasks Work with a customer-centric approach and maintain confidentiality Technical Skills and Experience Master's degree in engineering or computer science (or equivalent experience) Proven experience leading a technical team Experience with Agile methodologies Strong understanding of Linux operating systems (Red Hat) and Scripting (Bash, Python) Fluency in Dutch, French, and English Solid experience with cybersecurity for OT infrastructure Experience working in a production environment Basic knowledge of Javascript and Java Basic understanding of network administration (Routers, Switches, VPNs, Firewalls) A plus: Certifications: CISSP, CISM, ISO 27001 Experience with DevSecOps tools: Puppet (open source), Ansible Monitoring tools: Zabbix, Nagios Logging and analytics: Elastic Stack (including Kibana) Database technologies: MySQL, PostgreSQL Atlassian suite (Jira, Confluence, Git) VMWare (vCenter) Git version control Configuration Management Databases (CMDBs) like GLPI For immediate consideration, please forward your latest CV.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform. This director will need hands-on experience with Java, DevOps, CICD, AWS, Containers, terraform, Etc. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office.
10/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform. This director will need hands-on experience with Java, DevOps, CICD, AWS, Containers, terraform, Etc. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office.