Job Description – Machine Learning Engineer
Mission & Context
The Machine Learning Engineer plays a key role in enabling the industrialization of Machine Learning and AI solutions within the enterprise. The mission of the role is to promote and apply best practices in production‑ready ML development, ensuring that AI solutions are robust, scalable, monitored, and fully integrated into IT production environments.
Machine Learning Engineers bridge the gap between AI & Analytics teams and IT production, ensuring that Machine Learning models deployed to production are supported by appropriate data pipelines, infrastructure, automation, and monitoring from both a technical and business perspective.
They contribute to the full lifecycle of AI services, from design and development to deployment, monitoring, and continuous improvement.
Key Responsibilities
Machine Learning Engineers contribute to Machine Learning projects by:
Agile & Delivery Context
The Machine Learning Engineer typically works in Agile delivery environments, contributing within cross‑functional teams that combine analytics, engineering, and testing expertise. The role requires close collaboration, continuous feedback, and a strong delivery mindset focused on stable and reusable solutions.
Required Experience & Knowledge
Experience
Technical Skills
Mandatory
Preferred
Business & Methodology
Mandatory
Language Requirements
Working Model
Soft Skills
Machine Learning Engineer • Brussels, Brussels Region, Belgium
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