Start date: July 15th 2026 (Flexible)
Clearance: NATO Secret or equivalent
Location: The Hague, Netherlands

• 4/5+ years of hands-on experience building ML/AI solutions in Python, with strong foundations in machine learning concepts, software engineering, and production-grade development practices
• Proven experience designing, developing, optimizing, and maintaining end-to-end AI/ML pipelines (data processing, training, evaluation, deployment, and monitoring)
• Strong track record in model evaluation and performance measurement, including defining metrics, running assessments, and monitoring model qualitY over time
• Experience applying and adapting pre-trained models (including Generative AI/LLMs) to solve specific business use cases
• Solid experience with MLOps practices: version control, experiment tracking, model packaging, deployment, monitoring, and automation
• Proficiency with CI/CD pipelines and DevOps best practices (e.g., Git-based workflows, build/release automation)
• Practical experience with containerization (Docker, Podman) and orchestration using Kubernetes, including infrastructure provisioning and operationalization in cloud environments
• Experience with workflow orchestration tools such as Apache Airflow and/or Argo Workflows
• Strong experience building and maintaining REST APIs, ideally for serving ML models and AI services
• Experience working with SQL and NoSQL databases.

Desirable to have:
• Experience building production-grade AI agent backends, e.g., using LangChain or pydantic-ai, wrapped in FastAPI services
• Full-stack experience with TypeScript frameworks such as Next.js