数据Infra工程师 (流式)
Tasks
- Build data processing and automated labeling pipelines
- Create engineering delivery standards
- Deploy machine learning inference services
- Design infrastructure architecture
- Maintain core infrastructure code
- Monitor online inference services
- Optimize inference performance
- Troubleshoot engineering and performance bottlenecks
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Automated Data Labeling | Data labeling | Data pipeline | Deep learning | Distributed Computing | FastAPI | Flask | Inference Optimization | Inference Server | Language Models | Large Language Models | Logging | Model Deployment | Model Inference | ONNX | ONNX Runtime | Performance Tuning | Python | Quantization | Ray | React | TensorRT-LLM | Triton Inference | Triton Inference Server | VLLM | Vue
Education
N/A
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