Staff ML Engineer
Tasks
- Build machine learning features
- Define reliability scalability and quality practices
- Deploy ML systems to production
- Develop revenue management models end to end
- Establish ML operations practices
- Implement ML testing and data validation
- Implement and validate ML models
- Monitor model performance and drift
- Structure data pipelines
Perks/Benefits
- Home office stipend
- PTO
- Paid parental leave
- Professional development courses
- Remote always
- Remote-first
- Wellness Fridays
Skills/Tech-stack
AWS | Amazon SageMaker | Apache Airflow | Apache Flink | CI/CD | Data Validation | Docker | Kubernetes | Learning operations | MLflow | Machine Learning | Machine Learning Operations | Model Monitoring | Python | SQL | Testing | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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