LLM Research Scientist
Tasks
- Build RAG pipelines
- Collaborate with domain experts
- Design domain specific LLM solutions
- Develop SFT and IFT pipelines
- Document technical research
- Evaluate LLM systems
- Explore frontier LLM techniques
- Implement prompt engineering
- Integrate structured and unstructured knowledge
- Prototype LLM applications
- Transition prototypes to enterprise systems
Perks/Benefits
- N/A
Skills/Tech-stack
Agents | Amazon Web Services | Azure | Big Data | CI/CD | Continuous integration | Evaluation | Knowledge Grounded Inference | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | Machine Learning | Model Alignment | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Tool use | Transformer | Web Services
Education
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