Ingénieur Machine Learning / MLOps – GCP (F/H)
Core
Migrate and modernize existing Data Science projects to a GCP-based MLOps platform, ensuring quality, scalability, and maintainability.
Role type
Senior MLOps Engineer (GCP)
Builds
Production-ready ML pipelines and models on Google Cloud Platform
Domain
Cloud Computing, Machine Learning, Data Engineering
Deliverable
production ML models
Required skills
Machine Learning lifecycle management, CI/CD pipeline configuration, Docker containerization, Google Cloud Platform services, Python, R
Preferred skills
GCP certifications, Shiny dashboarding, Harbor/Nexus registry management
Technologies
GitLab, Docker, GCP (Workstation, BigQuery, Cloud Storage, Vertex AI, Cloud Run, Airflow), Shiny, Harbor, Nexus
Responsibilities
Validate MLOps platform in managed mode, migrate existing ML projects to new cloud infrastructure, integrate existing tools and test workflows, ensure smooth production deployment and monitoring, collaborate with internal teams
Seniority
Senior, hands-on IC