高级Ai运维工程师
Tasks
- Build and deploy AI development training and inference environments
- Collaborate with AI and business teams on technical support
- Create incident response plans
- Diagnose system failures and performance bottlenecks
- Ensure AI platform 24 7 uptime
- Maintain and optimize AI platform architecture
- Manage deep learning frameworks and containers
- Monitor platform health and performance
- Optimize resource utilization and prioritization
- Participate in platform requirements and architecture design
- Respond quickly during incidents
- Schedule and allocate compute resources
- Support AI model training deployment problem solving
Perks/Benefits
- N/A
Skills/Tech-stack
Compute resource management | Docker | Elasticsearch | Grafana | Incident Response | Kibana | Kubernetes | Linux | Logstash | MXNet | Performance Tuning | Prometheus | PyTorch | Resource Management | Resource scheduling | System monitoring | TensorFlow | Troubleshooting
Education
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