Septeo
Software
MLOpsEngineerH/F
“ML Ops Engineer H/F at Septeo. Skills: MLOps, Kubernetes, CI/CD, LLMs. Deploy AI solutions reliably. Operate AI solutions reliably”
Industry & Context.
Problem diagnosis; Incident resolution; Troubleshooting
What They're Looking For.
Must Have
5+ years Python, 5+ years TensorFlow, 5+ years PyTorch, 5+ years scikit-learn, 5+ years Triton Inference Server, 5+ years TorchServe, 5+ years BentoML, 5+ years KServe, 5+ years Seldon Core, 5+ years Azure DevOps, 5+ years ArgoCD, 5+ years Flux, 5+ years Docker, 5+ years Terraform, 5+ years Ansible, 5+ years Prometheus, 5+ years Grafana, 5+ years OpenTelemetry, 5+ years ELK stack
Nice to Have
Kubernetes experience on-premise
What You'll Do.
Deploy AI solutions reliably
Operate AI solutions reliably
Supervise AI solutions reliably
Ensure AI solution performance
Ensure AI solution reproducibility
Design CI/CD pipelines
Maintain CI/CD pipelines
Evolve CI/CD pipelines
Package applications with Helm
Define Kubernetes best practices
Diagnose platform incidents
Resolve platform incidents
Implement LLM deployment pipelines
Manage LLM model lifecycle
Implement LLM model rollback
Implement LLM A/B testing
Optimize LLM inference
Manage GPU/CPU for inference
Implement LLM caching
Implement LLM batching
Implement LLM quantification
Integrate LLM ecosystem components
Implement LLM monitoring
Follow SRE indicators
Integrate security into design
Scan for vulnerabilities
Optimize infrastructure costs
Optimize inference costs
How You'll Work.
Team & Collaboration
Collaborate with DSI; Work with IT teams; Cross-functional teams
Communication Scope
Translate AI constraints; Clear communication
Process & Methodology
Continuous improvement, Iterative approach
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