About this role
ML Ops Engineer H/F at Septeo. Location: Courbevoie, Île-de-France, France. Role: deploying models, maintaining infrastructure, monitoring systems Requirements: Design and maintain CI/CD (Azure DevOps), Kubernetes/Helm deployments, deploy and operate LLMs, optimize inference, implement observability and SRE practices, ensure security/compliance, and collaborate with engineering and business teams. Category: Engineering Seniority: Senior Level Tools: Azure DevOps, .NET, Helm, Kubernetes, vLLM, TGI, Triton Inference Server, TorchServe, BentoML, KServe, Seldon Core, PyTorch, TensorFlow, scikit-learn, ONNX, SafeTensors, ONNX Runtime, LangChain, Semantic Kernel, LiteLLM, Docker, Terraform, Ansible, ArgoCD, Flux, Prometheus, Grafana, OpenTelemetry, ELK Commitment: Full Time Workplace: Hybrid Languages: French