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.
Job Description
The ideal candidate brings solid Machine Learning and AI expertise, with hands-on experience building and operating data-driven and intelligent systems in production environments. Candidates must be comfortable defending architectural decisions and writing production-grade code in a high-performance environment.
Key Qualifications
Strong experience with Apache Spark, including optimization techniques for large-scale workloads
Strong experience with Spark Structured Streaming
Strong experience with Spark SQL and query performance optimization
Hands-on experience with Python for data processing, ML, and AI use cases
Practical experience in Machine Learning (ML), including model development and integration
Solid understanding of AI / GenAI concepts, with ability to apply them in real-world scenarios
Experience with Terraform and Databricks Asset Bundles
AI / ML Focus (Added Emphasis)
Proven practical ML experience, not only theoretical knowledge
Experience working with AI solutions before and/or during the GenAI era (classical ML is valuable)
Ability to integrate ML/AI components into scalable data platforms
Understanding of data pipelines supporting AI/ML workflows
Nice to Have
Familiarity with Databricks (good working knowledge; deep expertise is a plus but not required)
Experience with application development and Databricks Apps
Comfort working in Linux environments
Background in financial markets, such as market making, trading, or related domains
Knowledge of German or French is a plus
Working Style
Able to work independently, prioritize effectively, and proactively identify opportunities for improvement
Comfortable operating in a loosely defined scope, contributing not only to execution but also to defining priorities and driving work forward
What you will have working here
We care about all our employees and want them to feel as comfortable as possible. That's why we offer health insurance from the first days, regardless of the probationary period.
The Gift from the Company - Christmas holidays from December 25 to December 31.
• • Cooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donated over UAH 500 000 prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented an 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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