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Senior/TechLead AI Engineer (ML/GenAI project)

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

YOUR CLIENT

Our client is a leading data and AI company that helps organizations accelerate innovation by unifying data, analytics, and AI. Our platform enables data teams to collaborate and build data-driven solutions at scale.

YOUR TASKS

  • Lead the design, development, and deployment of advanced machine learning models and AI solutions, ensuring scalability, performance, and business alignment
  • Architect and oversee production-grade ML systems, including model lifecycle management, monitoring, and continuous improvement
  • Drive innovation in generative AI and NLP, guiding research and development efforts to deliver cutting-edge capabilities
  • Own and optimize data infrastructure and pipelines, ensuring robust data availability, quality, and governance for ML applications
  • Collaborate with product, engineering, and business stakeholders to define AI strategy and deliver impactful, data-driven solutions
  • Stay at the forefront of AI/ML advancements, evaluating emerging technologies and integrating them into the team’s roadmap where appropriate

YOUR PROFILE

  • Knowledge in Physics, Mathematics, Engineering, or a related quantitative field
  • 4+ years of hands-on experience in developing and deploying AI/ML solutions, with a strong track record of delivering business value
  • 3+ years in a customer-facing consulting role, including experience leading generative AI engagements and managing client relationships
  • Demonstrated expertise in productionizing machine learning models, including monitoring, retraining, and lifecycle management
  • Hands-on experience with generative AI technologies and natural language processing (NLP)
  • Proficiency in infrastructure management (Docker containerization, Pipeline management tools, Database systems)
  • Experience working with Databricks platform
  • Experience with Azure cloud

What you will love about working here?

  • We care about all our employees and want them to feel as comfortable as possible. That's why we offer them health insurance from the first days, regardless of the probationary period.
  • The gift from the company - Christmas holidays from 25 December to 31 December.
  • Сooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donnated over UAH 500 000 prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented a internal policy making the company friendly to military and veterans with the assistance of the Hub.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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Ref. code:  278207
Posted on:  26 Jul 2025
Experience Level:  Experienced Professionals
Contract Type:  Permanent
Location: 

Kyiv, UA Odesa, UA Lviv, UA Rivne, UA

Brand:  Capgemini Engineering
Professional Community:  Software Engineering

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