Senior Machine Learning Engineer
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Senior Machine Learning Engineer
Considering making an application for this job Check all the details in this job description, and then click on Apply.
B2B | 12-month contract | Brussels, Belgium | Hybrid 50% remote
We are looking for an experienced Machine Learning Engineer to join a large-scale AI and data transformation programme. This is an exciting opportunity to help design, deploy and optimise production-grade machine learning solutions within a modern cloud and data environment.
Working alongside Data Scientists, Data Engineers and IT teams, you will play a key role in taking machine learning models from concept through to production, ensuring they are scalable, automated and fully monitored throughout their lifecycle.
Responsibilities
- Design, build and deploy production-ready machine learning pipelines.
- Work closely with Data Scientists to develop scalable ML solutions that meet business and technical requirements.
- Build and maintain CI/CD pipelines for machine learning deployments.
- Develop and manage containerised ML applications using modern virtualisation technologies.
- Implement robust model monitoring, retraining and performance optimisation processes.
- Design and maintain data pipelines to support AI services and model deployment.
- Ensure high standards of code quality, version control and dependency management.
- Support production environments by troubleshooting, monitoring and improving deployed ML services.
- Collaborate with cross-functional teams including Data Science, Engineering, Infrastructure and Operations.
- Drive best practices across MLOps, automation and industrialised machine learning delivery.
Required Skills & Experience
- Minimum 4 years' commercial experience as a Machine Learning Engineer or MLOps Engineer.
- Advanced Python development skills.
- Strong experience with containerisation technologies (Docker/Kubernetes or similar).
- Experience building and maintaining CI/CD pipelines (GitLab CI or equivalent).
- Experience with model, code and data versioning.
- Strong knowledge of package and dependency management.
- Experience working with PostgreSQL.
- Strong understanding of Agile delivery methodologies.
Desirable Experience
- Apache Spark or other big data technologies.
- ETL/ELT pipeline development.
- Data flow processing.
- Integration across distributed systems and enterprise platforms.
- Model optimisation and compression techniques.
- Data visualisation tools. xirbnpk
- Experience deploying AI solutions into enterprise production environments.
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