AI Engineer
Role details
Job location
Tech stack
Job description
You will become part of a multidisciplinary team where data engineering, architecture, AI, analytics, governance and visualization come together. Together, we help clients get more value out of their data: from setting up the right data foundations to building dashboards, analytics solutions and AI use cases that support better decisions. As an AI Engineer, you will contribute to this by designing, building and industrializing AI solutions that solve concrete business problems and can be used in real operational environments. You bring traditional AI and generative AI into real-world use cases by helping our clients design, build and deploy AI solutions. You work on solutions ranging from machine learning models and NLP to LLMs, semantic search, RAG solutions and conversational AI. You train, fine-tune, improve and deploy ML and AI models. You write production-ready Python code to serve online, batch and real-time models, and you build applications and software components that make AI-driven use cases usable in practice. You work in close collaboration with Data Scientists, MLOps Engineers, Data Engineers, AI Architects and other specialists to integrate all parts of the solution. Depending on the project, you may help build new AI solutions from the ground up or support clients in operating and improving existing solutions over a medium to long-term basis. Within our Data & AI team, we help each other grow and keep learning from one another. Are you looking for a role where you can combine AI engineering, software development, MLOps and applied innovation? Then the Data & AI team at Sopra Steria is the right place for you.
Requirements
We're looking for an AI Engineer who combines strong AI knowledge with solid software engineering skills. You are able to move beyond experimentation and help turn AI use cases into reliable, maintainable and production-ready solutions. 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
- Experience with vector databases for semantic search and RAG solutions in a production environment.
- 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 and you're also fluent in Dutch and/or French
Benefits & conditions
Are you ready to further develop your career? Then we'd love to point you in the right direction. With offices in more than 30 countries, that direction might lead you to places you've never been to before. Would you prefer to grow internally? That's possible, too. We challenge you to keep pushing yourself to become the best you can be. We offer a generous employee benefits package that includes:
- A variety of perks, such as mobility options (including a company car), insurance coverage, meal vouchers, eco-cheques, and more.
- Continuous learning opportunities through the Sopra Steria Academy to support your career development.
- The opportunity to connect with fellow Sopra Steria colleagues at various team events.