Generative AI Engineer

at  Sopra Steria

Company Description
Sopra Steria offers tailored, end-to-end corporate technology and software solutions to help clients make bold choices and deliver results. Successfully so! With more than 56.000 colleagues in 30 countries, we rank as Europe’s leading digital solutions provider. Some of the most successful companies in Europe rely on our technology due to our commitment to innovation, collaboration, and value in business development.
The world is how we shape it. Let’s shape it together.
Job Description
In the role as a Generative AI Engineer, you will bring generative into real world use cases. You will operate with our current clients on a medium to long-term basis. You will help our clients design, build, and serve Generative AI solutions. More specifically, the responsibilities include design and implement solutions from traditional NLP to LLMs, from semantic search to conversational AI. You train, fine-tune, improve, and deploy ML models. Furthermore, you write production ready code and serve online, batch, and real time models. In addition you are passionate about the collaboration with Data Scientists, MLOps Engineers and Data Engineers, to integrate all parts of the solution.
Qualifications
We’re seeking passionate colleagues who are eager to push the boundaries in digital transformation and technology consulting. At Sopra Steria, you’ll have the opportunity to grow your skills in a constructive, collaborative team environment, working on impactful projects that drive change for our clients. If you thrive on challenge and meet (most of) the qualifications below, we look forward to your application!

YOU’LL HAVE KNOWLEDGE AND EXPERIENCE OF THE FOLLOWING:

• At least 3 years of experience as a Machine Learning Engineer, Data Scientist, MLOps Engineer, or in a similar position
• Experience with traditional NLP, LLMs, and conversational AI, both in experimentation phase and in production
• Strong software engineering background and ability to write production ready code in Python
• Experience with experiment tracking, models monitoring, LLM and NLP evaluation techniques, and deployment strategies
• Comfortable with the machine learning lifecycle and MLOps and DevOps principles
• Experience with at least one cloud provider and good knowledge of the data ecosystem
• Able to coach others, give technical advice and direction, and work independently
• Master or PhD in Machine Learning, Artificial Intelligence, Computer Engineering, or related field.
• Proficient in English, knowledge of Dutch and/or French is a plus

Please refer the Job description for details