Put Machine Learning models into production
Master cloud infrastructures for data science
Coordinate project progress among Data Scientists, Platform and Backend Engineers, and business
Participate in internal research efforts (generative AI, computer vision, etc.)
Develop or strengthen our offerings through trainings, working groups, and dissemination of
Contribute to publication policies (sector blogs, studies, press)

🎯 Requirements

Engineering degree or high-level education in information processing
At least 2 years of professional experience in Machine Learning
Experience with Large Language Models (LLMs) in production
Excellent knowledge of Python and its ML tools: PyTorch, Pandas, TensorFlow, etc.
Experience in maintaining operational systems with Machine Learning models
Proficiency in running training and inference workloads in a cloud environment

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Data Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot