Staff MLOps Engineer
Tasks
- Build automation pipelines for training testing validation and deployment
- Collaborate with data scientists and engineers to integrate ml solutions
- Deploy ML models to production environments
- Design ml model deployment infrastructure
- Detect and respond to data drift
- Ensure security and compliance in ML lifecycle
- Implement data privacy and model governance
- Implement orchestration for ml deployment
- Integrate CI CD for ML delivery
- Manage ml model version control
- Propose improvements to ml ops processes
- Set up ml monitoring and alerting
- Troubleshoot ml performance and stability issues
Perks/Benefits
- 401k plan
- Company observed holidays
- Comprehensive leave program
- Dental insurance
- Disability insurance
- Employee stock purchase plan
- Health insurance
- Life insurance
- Paid time off
- Retirement plans
- Vision insurance
- Workers’ compensation insurance
Skills/Tech-stack
AWS | Automation Pipelines | Azure | CI/CD | Containerization | Data Drift | Data Privacy | Docker | GCP | Git | Java | Kubernetes | Machine Learning | Model Governance | Model Monitoring | PyTorch | Python | TensorFlow
Education
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