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.
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.
AI Engineer / Data Scientist at Valkuren
This hybrid role combines Machine Learning, Data Science, Generative AI, agentic architectures, MLOps, and software/data engineering, always with measurable business impact.
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.
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).
Excellent English & French (Dutch is a plus)
Experience with cloud platforms (Azure, AWS, GCP).
Experience with data engineering (Spark, SQL, ETL, streaming).
Familiarity with optimization models, forecasting, or industrial analytics.
We are not a model-building factory.
We are a European deep-tech company committed to producing trustworthy, sovereign, high-performance AI systems.
~ Industry, mobility, public sector, energy, health, legal, etc
production-grade ML pipelines,
industrial analytics & digital twins,
cloud-native architectures,
compliance-by-design AI systems.
Competitive salary, flexibility, hybrid work, and opportunities to contribute to conferences, R&D, and strategic client projects.
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