Senior MLOps Engineer
Tasks
- Architect AI ML systems for production environment
- Collaborate with AI ML engineers for workflow optimization
- Develop tools for model management and monitoring
- Ensure operational excellence and system reliability
- Guide ML infrastructure
- Lead cross-functional initiatives
- Mentor team members
Perks/Benefits
- Equity participation
- Flexible spending account
- Health savings account
- Healthcare dental vision coverage
- Paid parental leave
- Remote work
- Retirement plan
- Unlimited vacation
Skills/Tech-stack
Data Structures | Design Principles | Distributed Systems | Docker | Go | Java | Kubernetes | Lifecycle Management | ML Lifecycle | ML Lifecycle Management | Machine Learning | Microservices | Model Deployment | Model Monitoring | Python | Software Design | Software Design Principles
Education
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