MLops Engineer

Job Location: Belgium
Job Category: Data Infrastructure
Job Type: Full Time


  • Collaborate closely with data scientists and data engineers to design and run machine learning experiments efficiently.
  • Design, build, and maintain ML workflows for model training, validation, and deployment.
  • Implement practices to monitor model performance, data inputs, and respond accordingly.
  • Troubleshoot and resolve issues in machine learning systems.
  • Develop tools, libraries, frameworks, and services to support machine learning needs.
  • Establish and manage data platforms and data ingestion pipelines.
  • Automate processes to monitor and improve model and system performance.
  • Contribute to the development of the team’s capabilities and expertise in line with emerging technologies and trends.


  • Bachelor’s degree in computer science, Engineering or a related field, or equivalent experience.
  • Experience with machine learning lifecycle, including model selection, training, validation, and deployment.
  • Strong understanding of machine learning algorithms and principles.
  • Hands-on experience with Azure ML, Git, and SonarQube.
  • Proficiency with Python, and experience with machine learning libraries.
  • Experience with Azure cloud services and understanding of distributed systems.
  • Knowledge of MLFlow data pipeline tool.
  • Familiarity with DevOps practices, such as CI/CD, containerization (Docker), and orchestration (Kubernetes). Terraform experience is a plus.
  • Strong problem-solving skills, attention to detail.
  • Excellent communication and presentation skills and the ability to work well in a team.
  • Fluent in English, additional language skills in German, Dutch or French is a plus.
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