Ai大模型算法工程师(深圳)
Tasks
- Build LLM agent systems
- Build model training and inference integration
- Design AI platform architecture
- Design MLOps pipelines
- Design multimodal model alignment
- Develop AI toolchain platform
- Develop distributed compute orchestration
- Ensure AI security compliance
- Implement RAG retrieval pipeline
- Implement observability monitoring and tracing
- Integrate knowledge bases and management systems
- Optimize edge inference performance
Perks/Benefits
- N/A
Skills/Tech-stack
Agent | C++ | CUDA | Cloud Native | Compute Orchestration | Data Lake | Data Warehouse | Distributed Systems | Feature Store | Kubeflow | Link tracing | LoRA | MCP | MLOps | MLflow | Monitoring | NCNN | Observability | Python | QLoRA | Quantization | RAG | TensorRT
Education
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