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 and inference
- Maintain stability for offline tasks and services across data centers regions and clouds
- Manage resources planning cost budget for computing and storage
- Perform global disaster recovery and improve cluster machine governance
- Provide system and business on call support
Perks/Benefits
- N/A
Skills/Tech-stack
Budgeting | Containers | Cost Management | Disaster Recovery | Distributed Systems | GPU | Go | Kubernetes | Linux | Monitoring | NPU | Performance Analysis | Python | RDMA | Resource Management | Shell | Storage
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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