Machine Learning Engineer

Machine Learning Engineer (Freelance) - 12 Months - Brussels

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We are seeking a Machine Learning Engineer (Freelance) for a 12-month mission in Brussels, partnering with our client to architect and implement the next generation of employee virtual assistants. This is your opportunity to shape a high-impact solution, collaborating with elite teams and driving technical excellence from vision to production.

Why This Role Matters

Our client is on a mission to transform the employee experience through intelligent automation. As a Machine Learning Engineer, you will be instrumental in translating a bold vision into a robust, scalable technical roadmap. Your expertise will ensure seamless collaboration across teams, enabling parallel development and accelerating delivery. The stakes are high: your work will directly influence how AI services are designed, deployed, and monitored at scale, setting new standards for operational excellence and innovation.

What You'll Be Doing

• Structuring the technical vision for an employee virtual assistant into a clear, actionable implementation roadmap.
• Defining and enforcing boundaries between Python micro-services to maximize team efficiency and parallel development.
• Collaborating with Data Scientists to design solutions that meet production constraints, including infrastructure selection, data ingestion, and API design.
• Automating ML pipelines for seamless integration and deployment, including Docker/VM image creation and comprehensive testing (unit, regression, integration).
• Supporting Data Scientists in leveraging industrial CI/CD tools for building and monitoring AI services.
• Partnering with IT Production to parameterize and optimize target environments.
• Ensuring models run reliably in production, are retrained as needed (including automated retraining), and are monitored from both IT and business perspectives.
• Championing best practices in code, model, and data versioning, and sharing knowledge across the chapter.
• Facilitating communication between AI, Analytics, and IT teams to ensure robust deployment and monitoring of ML models.

What We're Looking For

• At least 6 years of relevant experience in Machine Learning Engineering or related fields.
• Master's degree in Computer Science or equivalent experience.
• Proven expertise in Python micro-services, containerization, and cloud computing services.
• Hands-on experience with Swagger/schema definition, mocking, and testing frameworks.
• Deep knowledge of AI platforms, IDEs, CI/CD pipelines, and relational databases.
• Strong background in code, model, and data versioning.
• Project coordination experience in complex, cross-functional environments.
• Excellent communication skills (oral and written), with the ability to share knowledge and mentor peers.
• Results-driven, detail-oriented, and rigorous in execution.
• Creative, innovative, and proactive in problem-solving and continuous learning.
• Constructive, open to feedback, and energized to deliver impactful results.
• Awareness of efficiency and efficacy, with a drive to think beyond existing frameworks.

Technical Skills

• Python micro-services architecture
• Containerization (e.g., Docker, VM images)
• Swagger/schema definition
• Mocking and testing (unit, regression, integration)
• AI platforms & IDEs
• CI/CD tools and automation
• Code, model, and data versioning
• Cloud computing services
• Relational databases
• Familiarity with ML packages and libraries relevant to the project
• Model compression techniques (preferable)

Language Proficiency

• English: Mandatory
• Dutch: Nice to have
• French: Nice to have

Other Requirements

• Certifications in Linux, Python, or Data Science are a plus
• Expectation: 50% on-site & 50% homeworking (hybrid model)
• Freelance contract: 12 months, Brussels

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