Site Reliability Engineer, Machine Learning Systems - Singapore
Tasks
- Build monitoring and management tools for ML infrastructure and services
- Ensure ML systems run efficiently for training inference and evaluation
- Lead disaster recovery and cluster machine governance
- Maintain offline tasks services stability across data centers regions and clouds
- Manage and plan resource allocation including cost and budget for computing and storage
- Provide global on call system and business support
Perks/Benefits
Skills/Tech-stack
Containers | Cost Management | Disaster Recovery | GPU | Go | Kubernetes | Linux | Monitoring | NPU | Python | RDMA | Resource Management | Shell | Storage Systems
Education
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