Staff ML Engineer
Tasks
- Build and deploy ML models
- Collaborate with product and engineering teams
- Define ML testing strategies
- Design production distributed ML systems
- Establish ML reliability and scalability
- Establish MLOps practices
- Implement data pipelines
- Mentor team members
- Monitor model performance and drift
- Optimize revenue management pricing strategies
- Validate data and model correctness
Perks/Benefits
- Home office stipend
- Manager training
- PTO
- Paid parental leave
- Professional development courses
- Remote work
- Wellness Fridays
Skills/Tech-stack
AWS | Amazon SageMaker | Apache Airflow | Apache Kafka | CI/CD | Data Validation | Docker | Drift Detection | Flink | Kubernetes | MLOps | MLflow | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | Python | SQL | Statistical Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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