Machine Learning Engineer

il y a 4 semaines

Bruxelles, Région de Bruxelles, Belgique DigiTribe Temps plein

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Recruitment Consultant @ DigiTribe | Cyber Security, Cloud & Digital Transformation

The mission of the Predictive Analytics team within the Marketing and Communication department is to develop, deploy, and support the usage of AI models to increase the reach and relevance of the campaigns.

As an ML Engineer, you will manage the data science ecosystem of the team to build and run our models (Domino Data Science Platform), set up data preparation pipelines, assure and monitor the quality of data sources used to generate indicators, and run and monitor the performance of the models.

The Predictive Analytics team is looking for a Machine Learning (DevOps) Engineer with a proven track record of developing and deploying data science models in a Python environment as well as experience in data engineering.

You are part of the data science team and will work on the following:

  • Manage the execution and quality assurance of the monthly production run from data preparation, scoring, and validation of different AI models and analytical indicators. Improve the automation of this process to make it more efficient.
  • Maintain and improve the existing Python programs for collecting and validating data from different sources, for building, scoring, and performance monitoring of AI models of the team (e.g., Python version upgrades).
  • Interface between data scientists and IT to support the usage of the Domino Data Science Platform, the AI building blocks, and the evolution of the Python environment.
  • Assist data scientists by helping them identify and install the correct dependencies in their environment, best practices for code quality, continuous improvement, and automation.
  • Support the creation of new variables (data engineering) and automatic refit of the data science models.
  • Explore new ways of combining the available tools of the bank (AI building blocks from Tribe AI) to unlock new capabilities for building AI products and supporting the data scientists.
  • Work with a team of motivated data scientists who are eager to learn, collaborate, and share expertise.

Telework: 50% on-site, 50% telework

Language Requirements:

You have fluent knowledge of English (spoken and written).

Dutch/French: Fluent/Good level of Dutch (French is a plus).

Education:

You have a degree in a quantitative field (e.g., Master in computer sciences). Candidates with other academic backgrounds with substantial experience in data science and ML DevOps are also encouraged to apply.

Required Experience / Knowledge:

You have at least 3 years of relevant experience.

Mandatory:

  • Strong expertise in software development in Python and Python data science packages (pandas, sklearn).
  • Git.
  • Bash.
  • SQL.
  • Experience in MLOps / DevOps.
  • SAS.
  • Domino Data Science Platform.
  • Django.
  • Software testing.
  • Experience in containerization (Docker).
  • Experience in Cloud environments.

Business Experience:

Marketing and communication.

  • Team player, good communication and presentation skills.
  • Analytical and problem-solving mindset.
  • Autonomy, commitment, and perseverance.
  • Passionate about continuous improvement.
Seniority Level

Not Applicable

Employment Type

Contract

Job Function

Consulting

Industries

IT Services and IT Consulting

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