高级算法工程师（Nlp方向）
Tasks
- Build agent memory storage and retrieval
- Build and optimize NLP models
- Conduct NLP modeling and optimization for text tasks
- Create annotation standards and high quality datasets
- Deploy NLP models into monitoring systems
- Develop and integrate MCP client server architecture
- Develop and optimize Retrieval Augmented Generation systems
- Implement model training and data driven iteration
- Integrate vector databases for retrieval
- Optimize model performance testing and evaluation
- Research model architectures for social media data
- Track and apply NLP frontier research
Perks/Benefits
- N/A
Skills/Tech-stack
Agent memory | CUDA | Chroma | Deep learning | Dify | FastGPT | FlowRAG | High Performance | High-Performance Computing | LangMem | Langchain | Language Processing | LoRA | MCP | Machine Learning | MemGPT | Milvus | Natural Language | Natural Language Processing | Performance Computing | Pinecone | Prompt engineering | Retrieval-Augmented Generation | Tensor optimization | TensorRT | Vector Databases | Weaviate | Zep
Education
Roles
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