Overview
Our 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.
Responsibilities
* Design, 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.
Qualifications
* 3+ 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 Haves
Practical knowledge of Azure cloud infrastructure.
Details
* Start date: ASAP
* Duration: project length
* Work regime: Full-time
* Location: Brussels
* Working model: Hybrid (2 days onsite per week)
* Contract: open to both permanent employees and freelancers
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