MLOps Engineer
Tasks
- Build CI CD pipelines for model delivery
- Deploy machine learning model endpoints in production
- Lead incident response for AI ML systems
- Maintain infrastructure as code for reproducible environments
- Manage experiment tracking and model data versioning
- Optimize cloud infrastructure costs
- Perform model health monitoring and drift detection
Perks/Benefits
- Employee Share Savings Plan
- Hybrid work
- Learning programs
- Mentoring
- Paid volunteer day
- Personal coaching
- Remote work options
Skills/Tech-stack
AWS | AWS Lambda | Amazon Bedrock | Amazon S3 | Amazon SQS | Amazon SageMaker | CI/CD | Data Versioning | Distributed tracing | Docker | Drift Detection | Experiment tracking | Infrastructure as Code | Logging | Metrics | Model Drift | Model Drift Detection | Model versioning | Monitoring | Observability | Python | Version control | “as-code”
Roles
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