Werkstudent MLOps-Plattform & Cloud-Native Infrastruktur (m/w/d)
Tasks
- Automate build and deployment steps
- Build ML and software components into platform system
- Build and maintain Docker images
- Create CI/CD pipelines
- Debug Kubernetes pods services logs events
- Deploy services with Helm
- Develop cloud native platform infrastructure
- Implement REST and GraphQL service interfaces
- Implement infrastructure-as-code
- Integrate Kafka event streaming for inference logging
- Maintain architecture and runbook documentation
- Manage Kubernetes clusters
- Manage container registry images
- Manage model registry with MLflow
- Operate MLOps pipelines with Kubeflow
- Prepare demos and reproducible materials
- Register deploy and version machine learning models
- Run unit integration and end to end tests
- Serve models with KServe
- Store artifacts with MinIO
Perks/Benefits
Skills/Tech-stack
CI/CD | CloudEvents | Docker | End to End | End-to-End Testing | Git | GraphQL | Helm | Integration Testing | KServe | Kafka | Kubectl | Kubeflow Pipelines | Kubeflow Training Operator | Kubernetes | Kubernetes manifests | Kustomize | Linux | MLflow | Message Queues | Minio | OpenShift | OpenStack | OpenTofu | Python | REST | Terraform | Unit Testing
Education
N/A
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