ML Ops Engineer II
Tasks
- Collaborate with data science and engineering teams
- Create monitoring systems for model drift detection
- Design and maintain scalable ML infrastructure
- Develop automation scripts
- Develop tools for data analysis, versioning, and governance
- Improve ML workflows for scalability and reliability
- Monitor model performance and security
- Optimize deployment processes
- Support risk management and data security
- Troubleshoot technical issues
Perks/Benefits
- Discretionary incentive plan
- Family planning benefits
- Healthcare coverage
- Paid parental leave
- Retirement plan with 100% match
- Unlimited paid time off
Skills/Tech-stack
AWS | Data Science | Distributed Computing | Docker | Kubeflow | Kubernetes | ML Packages | MLflow | Model Deployment | Python | Real Time | Real-time Model Deployment | Software Architecture
Education
Bachelor's in Computer Science | Engineering | Related Field
Roles
Regions
Countries
States
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