Senior ML Ops Engineer (m/f/d)
Tasks
- Automate model retraining and redeployment
- Deploy models using Docker and Kubernetes for scalable resilient services
- Develop and maintain CI CD pipelines for ML and LLM deployments
- Document MLOps practices and mentor team members
- Implement data versioning and validation for ML lifecycle integrity
- Optimize LLM deployment for cost latency and scalability
- Set up and manage cloud and on premise infrastructure for ML and LLM workloads
- Use MLflow for experiment tracking and model versioning
Perks/Benefits
- Corporate pension plan
- Mental health support
- Personal development
- Teambuilding events
- Work from home
Skills/Tech-stack
AWS | Azure | Bash | CI/CD | Data Versioning | Docker | GCP | Git | GitHub Actions | Infrastructure as Code | Jenkins | Kubeflow | Kubernetes | MLflow | Python | Terraform | “as-code”
Education
N/A
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
Regions
Countries
States
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