HubMub
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Materialise

MLOps Engineer

Materialise
Belgium · Full-time · Not Applicable
What you will do


  • Transform proof-of-concept scripts into Pipelines with different processing steps
  • Develop and maintain monitoring and alerting systems to ensure the health and performance of deployed models
  • Cross-functional collaboration with research teams and development teams
  • Maintain scalable, robust, and reliable infrastructure for model training, testing, deployment, and monitoring
  • Optimize and enhance model performance, scalability, and reliability in production environments
  • Take responsibility for code testing and quality checking
  • Stay on top of the latest trends in the field of MLOps and cloud platforms


Your profile


  • Bachelor's or Master's degree in Computer Science, Data Engineering, Biomedical Engineering, or a related field
  • Strong programming skills in Python
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, ONNX, or scikit-learn
  • Proficiency in cloud platforms such as AWS SageMaker (preferred), GCP Vertex A,I or Azure ML
  • Experience with medical imaging is a plus
  • Knowledge of experiment tracking frameworks like mlflow or weights & biases
  • Familiarity with Docker
  • Familiarity with version control systems (e.g., Git, Git-LFS, DVS) and CI/CD pipelines
  • Experience with Terraform
  • Professional English language skills
  • Solid knowledge of Linux and Windows operating systems


Location and type of contract


  • Leuven, Belgium; Barcelona, Spain
  • Full-time
  • Hybrid
  • Mid-senior level
  • CV in English

Key Skills

Ranked by relevance

cloud git machine learning tensorflow terraform pytorch python mlflow linux mlops cicd aws gcp ai
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Country Guide

Belgium

International hub for EU careers

Posted
Jun 15, 2026
Type
Full-time
Level
Not Applicable
Location
Leuven
Company
Materialise

Industries

Software Development Printing Services

Categories

Research

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