高级Ai运维工程师
Tasks
- Build and manage containerized workloads
- Collaborate with engineering teams
- Configure Grafana dashboards
- Configure Prometheus
- Create incident response plans
- Deploy and manage AI development environment
- Deploy and manage AI inference environment
- Deploy and manage AI training environment
- Implement monitoring systems
- Integrate ELK for logging
- Maintain AI platform architecture
- Manage Kubernetes clusters
- Optimize AI platform reliability
- Optimize resource utilization
- Perform performance tuning
- Schedule and allocate compute resources
- Support AI training and deployment issues
- Troubleshoot system failures
Perks/Benefits
- N/A
Skills/Tech-stack
Docker | ELK | Grafana | Kubernetes | Linux | Monitoring | Performance Tuning | Prometheus | PyTorch | Resource scheduling | TensorFlow | Troubleshooting
Education
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