Machine Learning Engineer

50% on-site in brussels, 50% remote working

Must be based in brussels.

Fluent in English, with a good level of Dutch (French is a plus).

We are seeking a skilled and driven Senior Machine Learning Engineer to join our clients. This is a unique opportunity to work at the intersection of AI innovation and strategic marketing, leveraging cutting-edge technologies to optimise campaign performance and customer engagement.

As a Machine Learning Engineer, you will manage the data science ecosystem, build, and run models, set up data preparation pipelines, and ensure the quality of data sources.

Responsibilities include:

• Executing and quality assuring the monthly production run from data preparation to model performance monitoring.
• Maintaining and improving existing Python programs for data collection, validation, and AI model performance
• Supporting data scientists in identifying dependencies, best practices for code quality, and automation.
• Exploring new ways to combine available tools to unlock new AI capabilities.

Required Skills & Experience:

• Technical Proficiency: Strong expertise in Python, pandas, sklearn, Git, bash, SQL, and experience with MLOps/DevOps practices.
• Desirable Skills: Familiarity with SAS, Domino Data Science Platform, Django, software testing, Docker, and cloud environments.
• Educational Background: Degree in a quantitative field (eg, master's in computer science, Engineering, Data Science) or substantial experience in ML DevOps.
• Experience: Minimum 3 years of relevant experience.
• Strong team player with excellent communication and collaboration skills.
• Problem-solving mindset with a proactive and results-oriented approach.
• Commitment to continuous learning and process improvement.

Language Requirements

• Fluent in English (spoken and written)
• Good level of Dutch (French is a plus)

This role is ideal for a seasoned Machine Learning Engineer eager to make a significant impact within a leading financial institution. Apply today or email (see below)