Senior Machine Learning Operations Engineer
Tasks
- Build interfaces for integrating new ML models and decisioning systems experimentation feature flag tooling
- Design scalable backend services APIs data pipelines
- Implement automated testing type checking CI CD infrastructure as code documentation
- Improve reliability performance observability of production ML systems
- Monitor data quality and model drift
- Own model to production workflow model versioning registry safe rollout rollback monitoring
- Profile data heavy services and pipelines optimize execution time memory usage
- Translate business needs into robust technical solutions
Perks/Benefits
- 401k company match
- Dental insurance
- Equity
- Health insurance
- Life insurance
- Paid parental leave
- Remote-first
- Unlimited vacation
- Vision insurance
- Work from home stipend
Skills/Tech-stack
AWS ECS | AWS EKS | AWS IAM | Alerting | Apache Spark | Asset bundles | Bash | CI/CD | Data Quality | Databricks | Databricks (asset) | Databricks Asset Bundles | Docker | Experimentation | FastAPI | Feature Flagging | Git | GitHub Actions | Infrastructure as Code | Jenkins | Logging | MLflow | Metrics | Model Drift | Observability | Python | SQL | Terraform | “as-code”
Education
N/A
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