Job Location: Belgium
Job Category: Data Infrastructure
Job Type: Full Time
Responsibilities
- 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.
Requirements:
- 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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