机器学习平台运维工程师
Tasks
- Analyze GPU application performance and quality
- Build monitoring/alerting systems
- Develop issue diagnosis tools and workflows
- Ensure machine learning platform stability
- Manage compute and storage resource costs
- Optimize resource utilization for training efficiency
- Provide technical support for model and system improvements
- Support model development training and deployment
- Troubleshoot training tasks including GPU failures
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Containerization | Docker | GPU | Go | Kubernetes | Linux | Monitoring | Performance Tuning | Python | RDMA | Resource Management | Shell
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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