Werkstudent MLOps-Plattform & Cloud-Native Infrastruktur (m/w/d)

Job summary

Support the team in connecting and developing software, infrastructure, and ML components of the research and development platform, working with cloud-native systems based on Kubernetes.

Qualifications

• Independent, solution-oriented work style
• Willingness to quickly learn new technologies
• Experience with Infrastructure-as-Code (Terraform/OpenTofu) - Nice-to-Have
• Experience with cloud infrastructure, ideally OpenStack - Nice-to-Have
• Knowledge in MLOps environment - Nice-to-Have
• Experience with Kafka or event-driven architectures - Nice-to-Have
• Experience with ML frameworks (e.g., PyTorch) - Nice-to-Have
• Interest in ML security and robustness - Nice-to-Have
• Initial experience with agile methods (Scrum, Kanban) - Nice-to-Have

Responsibilities

• Contribute to IaC architecture with OpenTofu/Terraform
• Provision and maintain Kubernetes environments
• Deploy components using Helm, Kustomize, and K8s manifests
• Build and maintain Docker images for services
• Operate and integrate MLOps components
• Connect and maintain streaming layer for inference logging
• Assist with ML services in Python
• Create and execute unit, integration, and end-to-end tests
• Maintain architecture, deployment, and runbook documentation

Skills

Degrees

Work schedule

Contract length

Relocation