Staff ML Engineer
Tasks
- Build machine learning features for revenue management
- Define SLIs and SLOs
- Deploy machine learning models to production
- Design and validate data pipelines
- Ensure reliability scalability and ML system quality
- Establish ML testing strategies
- Implement model monitoring and drift detection
- Optimize revenue pricing strategies using ML
Perks/Benefits
- Home office stipend
- PTO
- Paid parental leave
- Professional development
- Remote-first work culture
- Wellness Fridays
Skills/Tech-stack
AWS | Apache Airflow | CI/CD | Data Validation | Docker | Experiment design | Flink | Kubernetes | Learning algorithms | MLOps | MLflow | Machine Learning | Machine learning algorithms | Model Monitoring | Python | SQL | SageMaker | Statistical Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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