Machine Learning Operations Engineer
Tasks
- Build research to operations pipelines
- Build training and realtime data pipelines
- Diagnose failures across nodes
- Evaluate cloud cost performance tradeoffs
- Handle upstream delays and failures gracefully
- Implement auto recovery and job scheduling
- Implement data quality control checks
- Improve logging and alerting
- Manage on prem compute and storage
- Manage production deployments for model releases
- Monitor system health end to end
- Scale inference and manage compute strategy
- Set up monitoring for distributed training
Perks/Benefits
- 401k
- Dental insurance
- Health insurance
- Office food and beverages
- Stock option plan
- Unlimited PTO
- Vision insurance
Skills/Tech-stack
AWS | Alerting | Cloud GPU | Compression | Data Quality | Debugging | Distributed Training | Docker | GCP | Job Scheduling | Kubernetes | Linux | Logging | Monitoring | Network Troubleshooting | PyTorch | Python | Storage management
Education
N/A
Regions
Countries
States
Cities
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