Machine Learning / MLOps Engineer

Role Overview

We are recruiting a Senior ML Engineer / MLOps to structure and scale our AI platforms. You will work on innovative topics such as MLOps & LLMOps GenAI and autonomous agents Industrialization and monitoring of models CI/CD pipelines for data and ML

What You Will Do

Design and maintain robust MLOps pipelines Industrialize Machine Learning and GenAI models Set up monitoring and observability systems Deploy solutions on Kubernetes Contribute to CI/CD practices for data Collaborate with data scientists and product teams

Why It Might Be a Fit

Expertise in Python Mastery of Kubernetes, Docker, MLflow, CI/CD Cloud experience: AWS or GCP Highly sought after: LLMOps / GenAI, Agentic AI, Google ADK, Vector Databases, PyTorch

Requirements

• Bachelor's degree or equivalent
• Expertise in Python
• Mastery of Kubernetes, Docker, MLflow, CI/CD
• Cloud experience: AWS or GCP

Benefits

• 50% health insurance
• transportation
• restaurant tickets (9.5€ to 60€)
• cooptation primes 1000€
• CSE
• 2-week integration
• training
• mobility
• solid team
• profitability and growth