高级算法工程师（Nlp方向）
Tasks
- Apply large language models to public opinion analysis
- Build NLP algorithm models and optimize for text classification
- Build Retrieval Augmented Generation systems
- Build high quality datasets with annotators
- Create labeling standards
- Develop Named Entity Recognition
- Engineer NLP solutions for production deployment
- Implement semantic understanding
- Improve model generalization for social media data
- Integrate vector databases for retrieval and agent memory
- Model video content understanding
- Optimize algorithms using feedback data
- Perform sentiment analysis
- Research NLP model architectures and algorithm strategies
- Test and evaluate algorithm performance
- Troubleshoot production technical issues
Perks/Benefits
- N/A
Skills/Tech-stack
Agent memory | CUDA | Chroma | Client-Server | Client-Server Architecture | Deep learning | Dify | FastGPT | Fine Tuning | FlowRAG | High Performance | High-Performance Computing | LangMem | Langchain | Language Models | Language Processing | Large Language Models | LoRA | MCP | Machine Learning | MemGPT | Milvus | Natural Language | Natural Language Processing | Performance Computing | Pinecone | Prompt engineering | Retrieval-Augmented Generation | Server Architecture | Statistics | TensorRT | Vector Database | Weaviate | Zep
Education
N/A
Roles
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