AI Engineer
Primary stack
Nice to have's
Job description
About the Position
AI Engineer
Brussels/Flanders, Belgium
Sopra Steria offers tailored, end-to-end corporate technology and software solutions to help clients make bold choices and deliver results. With more than 51,000 colleagues in nearly 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.
Join our Data & AI team.
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.
Responsibilities
- Design, build, and industrialize AI solutions that solve concrete business problems.
- Work on solutions ranging from machine learning models and NLP to LLMs, semantic search, RAG solutions, and conversational AI.
- Train, fine-tune, improve, and deploy ML and AI models.
- Write production-ready Python code to serve online, batch, and real-time models.
- Collaborate with Data Scientists, MLOps Engineers, Data Engineers, AI Architects, and other specialists.
- Help clients design, build, and deploy AI solutions.
Requirements
- 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 fluent in Dutch and/or French.
Nice to Have
- Experience with semantic search and RAG solutions.
- Experience with experiment tracking, models monitoring, LLM and NLP evaluation techniques, and deployment strategies.
- Experience with coaching and providing technical advice and direction.
We Offer
- Join our Data Science & AI Engineering Practice within the Data & AI team: a specialized group of consultants helping clients turn AI ideas into practical, scalable, and responsible solutions.
- Grow your expertise in AI engineering, Python development, production-ready AI, cloud and data platforms, MLOps, model evaluation, and stakeholder collaboration.
- Benefit from strong career development opportunities, both locally and internationally, supported by the Sopra Steria Academy and a wider network of more than 51,000 professionals.
- 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.
About the Company
Sopra Steria is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, ancestry, nationality, color, family or medical leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, gender (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations, and ordinances. We foster a work environment that is inclusive and respectful of all differences.
© Sopra Steria. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
IT Services
About the Company Sopra Steria is a prominent player in the tech industry in Europe, recognized for its consulting, digital services, and software development. The company operates in nearly 30 countries globally and employs around 55,000 individuals. Products, Services & Tech Stack Core Solutions: Consulting, digital services, and software development. Project Scope & Target Clients Client Base: Not specified. Engineering Scale: Not specified.
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