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🔑 Key Responsibilities
- Design, build, deploy, and monitor production-ready ML services and pipelines
- Define clear micro-service boundaries to enable parallel development across teams
- Develop and deploy Python-based microservices
- Collaborate closely with Data Scientists to industrialize ML models
- Integrate ML solutions into CI/CD pipelines and production environments
- Support IT Production teams with deployment and environment configuration
- Ensure data quality, model monitoring, retraining, and operational stability
- Share knowledge and best practices within the ML & AI community
🧠 Experience & Skills Required
- 6+ years of experience as a Machine Learning Engineer or similar role
- Strong experience with Python, containerization (Docker/VMs), and CI/CD
- Hands-on knowledge of cloud platforms, AI/ML platforms, and IDEs
- Experience with code, model, and data versioning
- Solid understanding of relational databases
- Experience with Swagger / schema definitions, testing, and mocking
- Proven ability to work with Data Scientists and IT Production teams
- Strong communication skills and a results-driven mindset
- Master’s degree in Computer Science (or equivalent experience)
Nice to have:
- Knowledge of ML libraries and model optimization/compression techniques
- Certifications in Linux, Python, or Data Science
Key Skills
Ranked by relevance
machine learning
python
ai
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- Posted
- Jan 14, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Brussels
- Company
- OPTIMUS IT SERVICES
Industries
IT Services
IT Consulting
Categories
Information Technology
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3 roles aligned with this opportunity
View Job Details
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Machine Learning Engineer
2026-03-24
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Information Technology
View Job Details
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Senior Embedded Machine Learning Engineer (C++)
2026-05-28
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