- 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 client. 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, scikit-learn, 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 (e.g., 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 Lydia.wills@church-int.com
