【27届实习】云原生Ai平台研发工程师-杭州
Tasks
- Build model training engine and inference engine
- Design model training and inference workflows
- Develop cloud native AI platform
- Implement container orchestration components
- Improve AIGC and LLM model efficiency
- Manage AI infrastructure resources
- Optimize training and inference for AI models
- Schedule GPU NPU CPU and storage resources
- Write technical documentation
Perks/Benefits
Skills/Tech-stack
Argo Workflow | Computer networks | Containerization | Data Structures | Golang | Kubeflow | Kubernetes | Linux | Machine Learning | Operating Systems | PyTorch | Python | TensorFlow
Education
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