ML Ops Engineer
Tasks
- Automate infrastructure and partner with ML and platform teams on standards
- Build and operate model deployment serving and rollback workflows
- Design CI CD pipelines for ML models and services
- Implement monitoring observability and alerting for production models
- Manage model lifecycle with MLflow
Perks/Benefits
- Choice of work equipment
- English classes
- Flexible schedule
- Hybrid work
- Newborn bonus
- Paid leave
- Patent remuneration
- Remote work
Skills/Tech-stack
Alerting | Amazon Web Services | Azure | CI/CD | Cloud platform | Docker | GitLab CI | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubeflow | Kubernetes | MLflow | Monitoring | Observability | PyTorch | Terraform | Web Services | “as-code”
Education
N/A
Roles
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