Your responsibilities
You could be just the right applicant for this job Read all associated information and make sure to apply. • Coach Data Scientists to move models from experiment to production-grade (packaging, reproducibility, CI/CD) • Design and build data and inference pipelines • Implement MLOps best practices (containers, model registry, experiment tracking, rollback) • Set up observability (logs, metrics, traces, drift, SLOs) • Work according to compliance-by-design together with security, risk & compliance (EU AI Act) Your profile • Hands‑on AI/MLOps engineer with strong Python skills and experience production‑grade AI • Combines deep engineering expertise with innovation and coaching • Agentic development and orchestration • Deep knowledge of AIOps/MLOps tooling: Azure DevOps, CI/CD, Docker, IaC (Terraform) • Fluent in Dutch and English Our offer • Challenging Data projects and an entrepreneurial xjsrcvq culture • Guidance: we'll assign you a dedicated talent manager who will always have your back • Career planning and professional development: our learning and development team is here to help you create your future career path • Team events & learning from other experts