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Machine Learning Engineer

Brussel, Brussel

Machine Learning Engineer Opportunity

For a client, we are seeking a Machine Learning Engineer to join the Marketing & Communications Data Science team.

Job Details

Job Title: Machine Learning Engineer

Location: Brussels

Start Date: 03/03/2025

End Date: 30/09/2025

Mission Context

The Predictive Analytics team within the Marketing and Communication department is focused on developing, deploying, and supporting AI models to enhance the reach and relevance of campaigns. As a Machine Learning Engineer, you will manage the data science ecosystem to build and run models, set up data preparation pipelines, and ensure the quality of data sources.

Responsibilities

  • Manage the execution and quality assurance of monthly production runs, including data preparation, scoring, and validation of AI models and analytical indicators.
  • Improve automation processes for efficiency.
  • Maintain and enhance existing Python programs for data collection, validation, and AI model performance monitoring.
  • Serve as an interface between data scientists and IT, supporting the use of the Domino Data Science Platform and the evolution of the Python environment.
  • Assist data scientists with environment setup, code quality, continuous improvement, and automation.
  • Support the creation of new variables and automatic refit of data science models.
  • Explore new ways to utilize available tools to enhance AI product capabilities.
  • Collaborate with a team of motivated data scientists.

Telework

50% on-site, 50% telework

Language Requirements

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

Education

Degree in a quantitative field (e.g., Master in Computer Sciences) or substantial experience in data science and ML DevOps.

Required Experience/Knowledge

  • At least 3 years of relevant experience.
  • Strong expertise in software development in Python and Python data science packages (pandas, sklearn).
  • Experience with Git, SQL, MLOps/DevOps, SAS, Domino Data Science Platform, Django, software testing, containerization (Docker), and Cloud environments.

Business Experience (Preferable)

Marketing and communication

Soft Skills

  • Team player with good communication and presentation skills.
  • Quick self-starter with a proactive attitude.
  • Result-driven with an analytical and problem-solving mindset.
  • Autonomy, commitment, and perseverance.
  • Passionate about continuous improvement.

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