LLM Applied Data Scientist (RAG/ NLP)
Tasks
- Apply NLP methods to analyze user generated content
- Build data processing and retrieval pipelines
- Design retrieval and ranking pipelines
- Develop evaluation methodologies for model performance
- Integrate RAG pipelines into production systems
- Research retrieval algorithms for LLM and agent systems
- Teach models to use external tools and APIs
- Train and fine-tune language models
Perks/Benefits
Skills/Tech-stack
AStar | C++ | Computer Vision | Data Augmentation | Data Generation | Embeddings | Fine Tuning | GraphRAG | Information Retrieval | MCTS | Multimodal Learning | NLP | PyTorch | Python | Query Understanding | RAG | Reinforcement Learning | Reranking | Supervised Fine Tuning | Vector Database | Vector Search
Education
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