Senior ML and AI DevOps Engineer (MLOps)
Tasks
- Build CI/CD pipelines for AI services
- Deploy and operate AI workloads on Kubernetes
- Establish observability and monitoring for AI services
- Implement secure deployment release and rollback strategies
- Integrate AI workloads with security and IT control processes
- Maintain runbooks playbooks and deployment documentation
- Reduce manual effort through operational automation
- Standardize deployment testing monitoring and maintenance
- Support AI lifecycle from prototype to controlled production
Perks/Benefits
- Company laptop
- Flexible work arrangements
- Food and snacks
- Gym membership
- Internet allowance
- Paid time off
- Pension plan
- Professional development
- Referral bonus
- Transport allowance
Skills/Tech-stack
Access Control | Automation | CI/CD | Cloud | Compliance | Docker | Governance | Helm | Hybrid Cloud | Kubernetes | Machine Learning | Model Deployment | Model Evaluation | Monitoring | Observability | On-Premises | Release Management | Rollback strategies | Security | Telemetry
Education
N/A
Regions
Countries
States
Cities
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