Principal ML Engineer
Tasks
- Build ML models for revenue management
- Define SLIs/SLOs
- Deploy ML models to production
- Detect model drift
- Ensure ML system scalability and reliability
- Establish ML testing strategies
- Implement data pipelines
- Monitor model performance
- Own end-to-end ML development
- Validate data and model correctness
Perks/Benefits
- Full paid parental leave
- Home office stipend
- PTO
- Professional development courses
- Remote always
- Remote-first
- Wellness Fridays
Skills/Tech-stack
AWS | Apache Airflow | CI/CD | Dagster | Data Validation | Distributed Systems | MLOps | MLflow | Machine Learning | Machine learning testing | Model Monitoring | Prefect | Python | SQL | Statistical modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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