Machine Learning Engineer
Summary
Build and deploy ML pipelines at Darwill using Databricks, covering training/serving workflows, feature engineering, model monitoring with drift detection, experiment tracking, and A/B testing for marketing models.
- Build ML training batch scoring pipelines
- Build data validation checks
- Build feature engineering workflows
- Deploy ML workflows to production
- Design ETL pipelines
- Document data pipelines
- Enable model monitoring drift detection
- Implement model versioning and experiment tracking
- Implement monitoring and alerting
- Optimize Databricks jobs
- Productionize marketing models
- Support A/B testing
- Train, validate, and deploy ML models
- Troubleshoot production issues
Perks/Benefits:
- Hybrid work model
- Onsite 1 to 2 days per week
- Opportunities for growth