MLOps Engineer
Tasks
- Build CI CD pipelines for model delivery
- Deploy ML model endpoints in production
- Execute safe rollback procedures
- Implement automated testing and staged rollouts
- Maintain data and model versioning lineage
- Manage alerts and incident response
- Manage experiment tracking
- Monitor model performance and detect drift
- Optimize AWS cloud infrastructure costs
- Version and manage model endpoints
- Write infrastructure as code for reproducible environments
Perks/Benefits
- Employee Share Savings Plan
- Hybrid work
- Learning and mentoring
- Paid volunteer day
- Personal coaching
- Remote options
Skills/Tech-stack
AWS | Bedrock | CI/CD | Data Versioning | Docker | Drift Detection | Experiment tracking | Git | Infrastructure as Code | Lambda | Logging | Metrics | Model Monitoring | Model versioning | Observability | Python | S3 | SQS | SageMaker | Tracing | “as-code”
Education
N/A
Roles
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