高级算法工程师（Nlp方向）
Tasks
- Apply large language models for analysis
- Build NLP algorithm models
- Build high-quality datasets
- Create annotation standards
- Deploy NLP models into monitoring systems
- Develop retrieval-augmented generation systems
- Develop semantic understanding models
- Develop video content understanding models
- Implement MCP client server integration
- Implement Named Entity Recognition
- Implement Text Classification
- Implement agent long term memory
- Implement sentiment analysis
- Improve model generalization
- Integrate vector databases
- Iterate algorithms using feedback data
- Optimize NLP models
- Optimize model prompt for business needs
- Research NLP model architectures
- Test and evaluate model performance
- Track AI research advancements
Perks/Benefits
- N/A
Skills/Tech-stack
Agent architecture | Agent memory | CUDA | Chroma | Client-Server | Deep learning | Dify | FastGPT | FlowRAG | LangMem | Langchain | Language Processing | LoRA | MCP | Machine Learning | MemGPT | Milvus | Natural Language | Natural Language Processing | Pinecone | Prompt engineering | Retrieval-Augmented Generation | TensorRT | Vector Database | Weaviate | Zep
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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