Site Reliability Engineer, Machine Learning Systems - Singapore
Tasks
- Build monitoring and management tools for ML infrastructure and services
- Ensure ML systems run efficiently for deployment training evaluation inference
- Lead disaster recovery for global systems and govern cluster machines
- Maintain stability of offline tasks and services across data centers regions and clouds
- Manage resources plan capacity optimize cost for compute and storage
- Provide on call support for systems and business services
Perks/Benefits
- N/A
Skills/Tech-stack
Capacity Planning | Disaster Recovery | Distributed Systems | Docker | GPU | Go | Kubernetes | LLM | Linux | Machine Learning | Monitoring | NPU | Performance Analysis | Python | RDMA | Shell | Storage Systems
Education
N/A
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