Senior MLOps Engineer I
Boston, Massachusetts, United States
USD 170K-180K Senior-level Full Time
Tasks
- Build and debug deployment pipelines
- Build and troubleshoot cloud infrastructure
- Define model staging to production standards
- Document model lineage and versioning conventions
- Implement CI CD pipelines for ML workloads
- Maintain model registry
- Manage safer release practices
- Set up model and pipeline monitoring
- Support experiment tracking and versioning
- Track model drift and performance
- Translate research models into production services
- Troubleshoot failed deployments and environment inconsistencies
Perks/Benefits
- Dental insurance
- HSA options
- Health insurance
- Paid training
- Stock options (eligibility)
- Unlimited PTO
- Vision insurance
- Work-life balance
Skills/Tech-stack
API Integration | AWS | CI/CD | Canary Deployment | Computer Vision | Container Orchestration | Dataset versioning | Docker | Experiment tracking | Geospatial Data | GitHub Actions | GraphQL | Human Labeling | Infrastructure as Code | Kubernetes | MLOps | Machine Learning | Model Drift | Model Registry | Model versioning | Monitoring | Observability | PostgreSQL | Python | Retraining | Rollback | Terraform | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
Regions
Countries
States
Cities
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