AI平台与MLOps工程师(27届校招)_BCSC
Tasks
- Build CI CD pipelines for LLM and AI agent services
- Build and maintain AI platform and MLOps LLMops systems
- Collaborate with algorithm engineers and software developers to ship services
- Collect performance metrics and run capacity testing
- Configure and optimize multi node multi GPU distributed training
- Define and track SLO and SLI
- Deploy and performance test LLM inference services using vLLM
- Deploy and run LLM services and AI agent services on internal platforms
- Engineer post training workflows such as SFT and DPO
- Implement monitoring and alerting for GPU utilization service latency and cost
- Manage and schedule NVIDIA GPU cluster resources
- Operate public cloud production clusters on Azure and Alibaba Cloud
- Perform access control and key management security compliance tasks
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Alerting | Alibaba Cloud | Amazon Web Services | Argo CD | Azure | Azure DevOps | CI/CD | DPO | DeepSpeed | Distributed Training | Docker | FSDP | GitHub Actions | Go | Java | Key Management | Kubernetes | LLM Inference | Linux | Monitoring | NVIDIA GPU | Python | SFT | SLI | SLO | TensorRT-LLM | TypeScript | VLLM | Web Services
Education
Roles
AI | AI Platform Engineer | Engineer | LLMOps Engineer | MLOps Engineer | Platform Engineer
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