OverviewOur client, a dynamic organization in the public services sector, is seeking a specialist to drive the operationalization of machine learning solutions. The role focuses on building robust implementation, monitoring, and scalable ML pipelines within both cloud and on-premise environments.ResponsibilitiesDesign, build, and maintain production-ready machine learning models and end-to-end ML pipelines.Process and analyze data from diverse sources to implement feature engineering and ensure data quality.Translate experimental models into scalable services by integrating them into backend APIs and batch processes.Establish MLOps practices, including CI/CD processes, version control, and model registry management.Monitor model performance, latency, and drift to ensure long-term stability and reliability.Collaborate with cross-functional teams to align technical implementations with the European AI Act.Qualifications3+ years of experience in data and machine learning development using Python.1+ years of experience with Machine Learning libraries such as scikit-learn, PyTorch, Langraph, Ollama, and LangChain.1+ years of experience with MLOps practices, including Azure DevOps, CI/CD, and experiment tracking.1+ years of experience with containerization using Docker and deployment patterns.1+ years of experience in SQL and data processing within production environments.1+ years of experience with backend development using C#, .NET, and Blazor.Experience with monitoring tools such as DynaTrace, OpenTelemetry, and drift detection.Strong analytical skills and a proactive, ownership-oriented mindset.You are fluent in Dutch or French with a passive knowledge of the other language.Nice to HavesPractical knowledge of Azure cloud infrastructure.DetailsStart date: ASAPDuration: project lengthWork regime: Full-timeLocation: BrusselsWorking model: Hybrid (2 days onsite per week)Contract: open to both permanent employees and freelancers
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