高级算法工程师（Nlp方向）
Tasks
- Build agent memory storage and retrieval
- Build and integrate client server architectures
- Build and optimize NLP models
- Create annotation standards and datasets
- Design NLP model architectures and optimization strategies
- Develop NLP solutions for text classification
- Develop retrieval-augmented generation systems
- Enable semantic understanding
- Implement Named Entity Recognition
- Integrate and deploy ML models in monitoring systems
- Iterate algorithms using feedback data
- Model and analyze video content understanding
- Optimize model inference with acceleration libraries
- Perform sentiment analysis
- Research social media data and improve model generalization
- Test and evaluate model performance
- Track industry research and apply large language models
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Development | Agent development tools | Agent memory | CUDA | Chroma | Data Annotation | Deep learning | Development tools | Dify | FastGPT | Fine Tuning | FlowRAG | High Performance | High-Performance Computing | LangMem | Langchain | Language Models | Large Language Models | LoRA | MCP | Machine Learning | MemGPT | Milvus | Model Fine-tuning | NLP | Performance Computing | Pinecone | Prompt engineering | TensorRT | Vector Databases | Weaviate | Zep
Education
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