Senior Software Engineer (Pipeline team)
Tasks
- Automate model rollout canary deployment and rollback
- Build and operate experimentation frameworks and A B testing
- Collaborate with ML scientists product managers and infrastructure teams
- Define model and pipeline SLOs and drive incident response
- Design and implement ML infrastructure architecture
- Design build and maintain ML pipelines
- Ensure security and compliance for pipelines and model artifacts
- Extend CI CD for ML workflows and deployment automation
- Implement drift detection data quality monitoring and alerting
- Implement model versioning data versioning and prompt versioning
- Maintain technical documentation and operational runbooks
- Perform code reviews and ensure unit testing
- Provide mentorship and engineering leadership
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS Bedrock | AWS ECS | AWS EKS | AWS Lambda | AWS S3 | AWS Step Functions | Apache Airflow | Automated testing | B testing | CI/CD | Canary Deployment | Data Quality | Data quality monitoring | Drift Detection | Experiment tracking | MLflow | Model Monitoring | Python | Quality monitoring | SLO | SQL | Step Functions | Unit Testing
Education
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