AI Engineer at Sopra Steria

Brussels, Brussels-Capital, Belgium -

Full Time

Start Date

Immediate

Expiry Date

30 Aug, 26

Salary

0.0

Posted On

01 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Natural Language Processing, Large Language Models, RAG, MLOps, Vector Databases, DevOps, Cloud Platforms, Software Engineering, Conversational AI, Model Monitoring, Semantic Search, Data Engineering, AI Architecture, Experiment Tracking

Industry

Information Technology & Services

Description

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 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. Job Description 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. Qualifications 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 What we can offer you At Sopra Steria, you’ll 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. Our work goes beyond experimentation. We help organizations identify valuable AI use cases, design the right solution approach, build and industrialize AI systems, and embed them into real business and operational environments. This includes traditional AI, NLP, LLMs, generative AI, agentic AI, trustworthy AI and MLOps. You’ll grow your expertise in AI engineering, Python development, production-ready AI, cloud and data platforms, MLOps, model evaluation and stakeholder collaboration. You’ll do this in a collaborative team where knowledge sharing, technical deep dives and coaching are part of the way we work. As part of Sopra Steria, you’ll also 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. Additional Information 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. Ready to take the next step? We’re here to support you all the way and we are looking forward to your application! ______ 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.

Responsibilities

Design, build, and industrialize AI solutions including ML models, NLP, and LLMs to solve concrete business problems. Collaborate with multidisciplinary teams to integrate AI components into production-ready software and operational environments.