【27届校招】云原生Ai平台研发工程师-杭州
Tasks
- Build model inference engine
- Build model training engine
- Design AI model training workflow
- Develop AI model inference services
- Improve LLM and multimodal training efficiency
- Improve inference efficiency
- Manage AI infrastructure compute resources
- Manage storage resources
- Schedule GPU NPU CPU resources
- Write technical documentation
Perks/Benefits
- N/A
Skills/Tech-stack
Argo Workflow | Argo Workflows | Ceph | Computer Vision | Containerization | Golang | Kubeflow | Kubernetes | Language Models | Language Processing | Large Language Models | Linux | Multimodal Models | NAS | Natural Language | Natural Language Processing | Neural Networks | OSS | PyTorch | Python | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | AI Platform Engineer | Cloud Native AI Engineer | Cloud) | Engineer | Platform Engineer
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