LLM Applied Data Scientist (RAG/ NLP)
Tasks
- Apply NLP and multimodal methods to user generated content
- Build data processing and retrieval pipelines
- Design evaluation methodologies
- Develop retrieval and ranking pipelines
- Implement agent and multi agent systems
- Integrate RAG pipelines into production systems
- Research and evaluate retrieval algorithms
- Teach models to use external tools and APIs
- Train and fine-tune large language models
Perks/Benefits
Skills/Tech-stack
A Star | API Integration | C++ | Deep learning | Embeddings | Evaluation | Fine Tuning | Graph retrieval | GraphRAG | Indexing | Information Retrieval | Language Models | Language Processing | Large Language Models | MCTS | Machine Learning | Multimodal Learning | Natural Language | Natural Language Processing | PyTorch | Python | Query Understanding | RAG | Reinforcement Learning | Reranking | Retrieval-Augmented Generation | Reward Modeling | Supervised Fine Tuning | Vector Databases | Vector Search
Education
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