Lead Machine Learning Engineer - REMOTE
Boston MA - Virtual, United States
R
USD 30K-190K Senior-level Full Time
Tasks
- Build ML platform surface for data science
- Build infrastructure as code with Terraform
- Build model registry version control and promotion workflows
- Create retraining pipelines and automation
- Design model packaging and deployment workflows
- Establish ML platform standards and reusable components
- Implement batch and real-time inference
- Implement monitoring alerting drift detection and performance checks
- Improve code quality with testing and code review
- Mentor data scientists on production MLOps practices
- Own model serving infrastructure on AWS SageMaker
- Set up experiment tracking evaluation and approval gates
- Write Python for production ML systems
Perks/Benefits
- 401k matching
- Healthcare benefits
- Paid parental leave
- Personal day
- Remote work schedule
- Sick leave
- Vacation time
Skills/Tech-stack
AWS SageMaker | Batch inference | Data Quality | Drift Detection | Experiment tracking | Feature Stores | Infrastructure as Code | MLOps | MLflow | Model Monitoring | Model Registry | Model Serving | Model gateways | Model versioning | Python | Real Time | Real-time Inference | Retraining Pipelines | Terraform | Weights and Biases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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