Senior Software Engineer (Pipeline team)
Tasks
- Automate rollout canary deployment and rollback
- Build and operate experimentation and AB testing frameworks
- Collaborate with ML scientists and product teams
- Define and track SLOs for model and pipeline health
- Design build and maintain end to end ML pipelines
- Design secure high performance ML infrastructure
- Extend CI CD for ML training evaluation and deployment
- Implement drift detection and data quality monitoring
- Implement model versioning data versioning and prompt versioning
- Ingest preprocess train evaluate and serve models
- Maintain technical documentation and operational runbooks
- Perform peer code reviews and ensure unit testing
- Provide mentorship and technical leadership
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS Bedrock | AWS ECS | AWS EKS | AWS Lambda | AWS Step Functions | Amazon S3 | Apache Airflow | B testing | CI/CD | Canary Deployment | Data Quality | Data quality monitoring | Deployment Automation | Docker | Drift Detection | Experiment tracking | Kubernetes | MLflow | Model Drift | Model Drift Detection | Model Registry | Python | Quality monitoring | Rollback | SLO | SQL | Step Functions | Unit Testing | Workflow Orchestration
Education
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