Senior MLOps Engineer (H/F)
Core
Design, industrialize, and secure high-performance MLOps platforms for government clients, managing large-scale AI/ML workloads.
Role type
Senior MLOps Engineer
Builds
Production-grade MLOps platforms and GPU-as-a-Service infrastructure for government sector
Domain
Government sector, Cloud Native, AI/ML Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Kubernetes cluster administration, End-to-end MLOps pipeline design, Large-scale GPU resource orchestration, Enterprise-grade storage solutions, Multi-tenant authentication integration, Distributed systems architecture
Preferred skills
NVIDIA GPU Scheduling, GitLab CI/CD, Cloud platform expertise (AWS/Azure/GCP)
Technologies
Kubernetes, OpenShift, GitLab CI/CD, NVIDIA GPU Scheduling, TensorFlow, PyTorch, OpenAI, Mistral AI
Responsibilities
Design and implement complete MLOps pipelines covering the full model lifecycle, Administer and optimize dedicated GPU-as-a-Service platforms, Deploy and manage large-scale Kubernetes clusters (500+ nodes), Ensure compliance with French State security standards (ANSSI), Participate in on-call rotations for critical infrastructure
Seniority
Senior, hands-on IC