AI Engineer

Your role: AI Engineer / Data Scientist at Valkuren At Valkuren, we believe that AI only creates value when it is mastered, sovereign, and designed to strengthen both performance and people. Since 2019, we have helped leading organisations in industry, mobility, health, public services, and legal-tech deploy reliable, safe and impactful AI solutions compliant with regulations. Our conviction is simple: Technology must remain transparent, ethical, and under control, always serving humans, never replacing them. If you want to build real systems used in production, not prototypes, this role is for you. Your impact Build and deploy sovereign AI systems, from classic ML (Supervised/Unsupervised, Forecasting, Optimization) to Generative AI (RAG, agents, MCP, workflows). Design and implement end-to-end pipelines: data ingestion, transformation, feature engineering, APIs, model training, continuous evaluation, monitoring, governance. Develop agentic systems and advanced LLM‑based workflows using structured prompt engineering and tooling from our odAIn platform (Valkuren’s sovereign AI agent framework). Deliver Data Science solutions such as probabilistic models, anomaly detection, pattern mining, recommendation systems, simulation models, predictive maintenance, etc. Deploy production‑ready applications on Azure, AWS or GCP, aligned with sovereignty and security constraints. Work closely with Data Engineers, Software Engineers, Project Managers, and clients to turn business needs into measurable results. Who you are Must-have Degree in Computer Science, Engineering, Data Science or related field. Minimum 3 years of experience in AI/ML/Data Science or Software/ML Engineering. Strong proficiency in Python and solid software engineering practices (testing, CI/CD, Git). Good understanding of ML and DS fundamentals (regression/classification, time series, embeddings, model evaluation, experimentation). Exposure to Generative AI, LLMs, RAG, or agent-based workflows. Ability to communicate complex topics clearly to both technical and non‑technical stakeholders. Proactive mindset, ownership, curiosity, and a strong consulting attitude. Excellent English & French (Dutch is a plus). Nice-to-have Experience with cloud platforms (Azure, AWS, GCP). Experience with data engineering (Spark, SQL, ETL, streaming). Familiarity with optimization models, forecasting, or industrial analytics. Contributions to open‑source projects. Interest in GDPR, AI Act, ethics, or sovereign architectures. We are not a model‑building factory. We are a European deep‑tech company committed to producing trustworthy, sovereign, high‑performance AI systems. Impactful real‑world projects Industry, mobility, public sector, energy, health, legal, etc. Always with measurable outcomes and direct access to decision‑makers. Fast learning & growth Work on multi‑agent systems, cloud‑native architectures, compliance‑by‑design AI systems. A culture of trust, autonomy & excellence. High expectations Transparency, ethics, and long‑term thinking. Attractive package & flexibility Competitive salary, flexibility, hybrid work, and opportunities to contribute to conferences, R&D, and strategic client projects. Candidates must be legally allowed to work in Belgium (no visa sponsorship). No Freelancer. #J-18808-Ljbffr