【27届实习】云原生Ai平台研发工程师-杭州
Tasks
- Build model inference engine
- Build model training engine
- Design model inference workflow
- Design model training workflow
- Develop cloud native AI platform
- Improve LLM inference efficiency
- Improve LLM training efficiency
- Manage AI infrastructure resources
- Manage network resources
- Manage storage resources
- Schedule GPU NPU CPU resources
- Train and deploy AI models
- Write technical documentation
Perks/Benefits
Skills/Tech-stack
Argo Workflow | CET4 | Computer Vision | Docker | Golang | Kubeflow | Kubernetes | Language Processing | Linux | Natural Language | Natural Language Processing | Neural Networks | PyTorch | Python | TensorFlow
Education
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