Lead Machine Learning Engineer - REMOTE
Tasks
- Build ML platform for model packaging deployment and inference
- Build retraining pipelines with automated triggers and evaluation
- Design batch and real time model serving
- Establish ML platform standards and reusable components
- Implement Python services and infrastructure as code with testing and code review
- Mentor teams on production MLOps practices
- Operate model registry version control and promotion workflows
- Set up monitoring and alerting for drift performance and data quality
Perks/Benefits
- 401k matching
- Education assistance
- Healthcare
- Holiday leave
- Paid parental leave
- Paid sick leave
- Personal days
- Remote work schedule
- Vacation
Skills/Tech-stack
AWS SageMaker | Batch inference | CI/CD | Drift Detection | Experiment tracking | Infrastructure as Code | MLflow | Model Registry | Model versioning | Monitoring and Alerting | Python | Real Time | Real-time Inference | Terraform | Weights and Biases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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