Ingénieur MLOps (F/H)
Tasks
- Analyze performance benchmarks
- Build training and fine tuning pipelines
- Deliver internal training and documentation
- Ensure model traceability
- Expose secured AI APIs
- Handle incidents
- Implement distributed tracing
- Implement model quantization
- Integrate CI CD for model workflows
- Maintain compliance ISO 27001 and HDS
- Manage GPU Operator updates
- Manage model artifacts and versioning
- Manage secrets with Vault and KMS
- Package machine learning models
- Participate in security audits
- Provide observability with monitoring and logging
- Supervise infrastructure GPU Kubernetes
Perks/Benefits
Skills/Tech-stack
Ansible | Argo CD | CI/CD | CUDA | CUDNN | Crossplane | Device plugins | FastAPI | GPU Operator | GitLab | Grafana | HDS | ISO 27001 | KMS | Kubernetes | LLM | Linux | Llama CPP | Loki | Machine Learning | Model Registry | NVIDIA GPU | NVIDIA GPU Operator | OpenTelemetry | Pandas | Pod affinity | Prometheus | PyTorch | Python | Quantization | SGLang | SecNumCloud | Shell/Bash | TensorFlow | Terraform | VLLM | Vault
Education
N/A
Roles
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