高级算法工程师（Nlp方向）
Tasks
- Build Retrieval Augmented Generation systems
- Build and optimize NLP algorithms
- Build high-quality datasets for model training
- Create labeling standards
- Deploy NLP models into monitoring systems
- Develop MCP client server integrations
- Develop and optimize prompts
- Develop text classification sentiment analysis and entity recognition models
- Implement agent memory storage and retrieval
- Improve model generalization for social media data
- Integrate vector databases for retrieval
- Optimize model performance testing and evaluation
- Track and apply latest NLP and multimodal research
Perks/Benefits
- N/A
Skills/Tech-stack
Agent memory | CUDA | Chroma | Deep learning | Dify | FastGPT | FlowRAG | Langchain | Language Models | Language Processing | Large Language Models | LoRA | MCP | Machine Learning | Milvus | Multimodal Models | Natural Language | Natural Language Processing | Pinecone | Prompt engineering | Retrieval-Augmented Generation | TensorRT | Vector Database | Weaviate
Education
N/A
Roles
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