Ingénieur DevOps IA / Cloud GCP (H/F)
Core
Design, deploy, and maintain cloud infrastructure on GCP to support the production and industrialization of innovative Machine Learning and Generative AI solutions.
Role type
Senior DevOps Engineer (AI/ML & Cloud)
Builds
Robust, scalable, and secure cloud platforms for AI/ML workloads
Domain
Cloud Infrastructure & Artificial Intelligence
Deliverable
production ML models
Required skills
Google Cloud Platform (GCP), Kubernetes, Terraform, CI/CD pipelines, Python scripting, MLOps tools (Vertex AI, Kubeflow, MLflow), containerization (Docker)
Preferred skills
Generative AI/LLM experience, Google Cloud certifications, DevSecOps practices
Technologies
GCP, GKE, Vertex AI, BigQuery, Cloud Run, Docker, Kubernetes, Terraform, GitLab CI, GitHub Actions, Jenkins, Grafana, Prometheus
Responsibilities
Design and maintain GCP infrastructure, automate provisioning with Terraform, industrialize CI/CD and MLOps processes, deploy containerized applications on Kubernetes, support Data teams in AI model production, optimize cloud performance/security/costs, monitor production environments
Seniority
Senior, hands-on IC