Ingénieur IA Cloud & MLOps
Core
Architecting and deploying AI solutions on Google Cloud Platform (GCP) with a focus on production stability and cost efficiency.
Role type
Senior Cloud Infrastructure & MLOps Engineer
Builds
Production-ready AI/ML services on GCP
Domain
Cloud Infrastructure & MLOps
Deliverable
infrastructure
Required skills
Google Cloud Platform (GCP), Docker, Kubernetes, CI/CD, VPC networking, IAM, SSL certificates, Cloud cost monitoring
Preferred skills
None stated
Technologies
GCP, Cloud Run, GKE, Docker, Kubernetes, IAP
Responsibilities
Deploy solutions on GCP using Cloud Run and GKE; Manage application containerization with Docker; Configure backend security environments (Certs, Proxy, VPC, IAM); Monitor resource consumption and ensure service availability.
Seniority
Senior, hands-on IC
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