Senior MLOps Engineer

Team: Data

Location: Paris

Commitment: CDI

Workplace Type: hybrid

Responsibilities

• Build and maintain MLOps / LLMOps infrastructure on GCP, including ML pipelines, model deployment and monitoring.
• Help researchers and data scientists bring models from experimentation to production.
• Design reliable and scalable solutions for both traditional ML and GenAI / LLM use cases.
• Ensure models and experiments are reproducible, observable and maintainable.
• Advise teams on ML/AI architecture, tooling and best practices.
• Share knowledge and help teams make effective use of GCP AI services.
• Work closely with Data Engineering and DevOps teams on data, infrastructure and CI/CD.
• Contribute to the evolution of the ML/AI platform as the company's AI needs grow.

Requirements

• 7+ years of experience in ML Engineering, MLOps, Software Engineering or a related field.
• Strong Python skills and experience running ML systems in production.
• Solid experience with MLOps, including pipelines, deployment and monitoring.
• Experience with GCP / Vertex AI is a strong plus.
• Experience with Docker and Kubernetes/GKE.
• Familiarity with modern ML frameworks such as PyTorch, TensorFlow or scikit-learn.
• Experience with LLMs / GenAI.
• Strong analytical and communication skills, with the ability to work with both technical and research teams.
• Fluent in English.

Recruitment Process

• Screening call with Doriane (30 min)
• Hiring Manager interview (45 min)
• Technical onsite Interview - (90min)
• Leadership Interview (30 min)
• Fit Interview (30 min)