Senior ML Ops Engineer
Tasks
- Build and maintain infrastructure for AI ML support
- Collaborate across teams for deployment and performance
- Deploy ML models at scale
- Implement monitoring and observability for models
- Improve processes and code quality
- Manage end-to-end ML model lifecycle
- Support AI ML scientists with tooling
Perks/Benefits
- Charitable donation matching
- Family and care support
- Financial wellness
- Health benefits
- Lifestyle stipend
- Mental health support
- Paid time off
- Remote work support
Skills/Tech-stack
AWS | Backend Services | C++ | Distributed Backend Services | Distributed backend | GPU Computing | Generative AI | Java | Kubernetes | Language Models | Large Language Models | ML Model Deployment | Model Deployment | Observability | Python | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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