AI Engineer / Data Scientist

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 role : 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 .

Your impact

You will :

• 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

Nice-to-have

Why join Valkuren?

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

Always with measurable outcomes and direct access to decision-makers.

Work on :

High expectations.

Transparency, ethics, and long-term thinking.

Competitive salary, flexibility, hybrid work, and opportunities to contribute to conferences, R&D, and strategic client projects.

Eligibility