We are looking for aMachine Learning Engineerwho is willing to relocate to join our Client's team in Brussels, Belgium.
Key Responsibilities:
Collaborate with Data Scientists to design ML solutions that account for production constraints such as infrastructure, data ingestion, synchronicity, and business requirements (e.G.
latency, throughput).
Automate machine learning pipelines to enable seamless deployment into production environments by building Docker or VM images, implementing unit, regression, and integration tests.
Integrate existing ML models into robust, industrial-grade pipelines that ensure reliability, scalability, and maintainability.
Work closely with IT production teams to configure the target environments and support continuous delivery of AI services.
Ensure deployed models are properly monitored for technical and business performance, handle errors effectively, and support automated retraining where needed.
Facilitate communication between AI & Analytics teams and IT operations to ensure alignment across the deployment lifecycle.
Required Qualifications:
Strong hands-on experience in containerization and virtualization (e.G., Docker, VMs).
Proficiency in Python and in using package management and dependency management tools.
Familiarity with AI development platforms and integrated development environments (IDEs).
Expertise in CI/CD pipelines, particularly with GitLab CI.
Experience with code, model, and data versioning.
Knowledge and practical use of PostgreSQL databases.
Preferred Qualifications:
Experience integrating systems across varied technologies and infrastructure components, including distributed and mainframe environments.
Familiarity with ELT/ETL tools and big data processing frameworks such as Spark.
Understanding of model compression techniques to optimize performance.
Experience with data flow processing and data visualization tools.
Why Join Us?
Employment:
Indefinite Contract from the start.
Relocation Support:
Great relocation package.
Health Insurance:
Comprehensive coverage for your well-being.
Hybrid Work Model:
2 days on-site, 3 days remote.
Continuous Learning:
Access to a Udemy Business subscription with thousands of workshops and courses.
Team Culture:
Collaborative and innovative work environment.
If you meet the above criteria and are ready for an exciting opportunity in a dynamic environment, submit your CV!