Strong Python programming experience, Knowledge of core data science stack including pandas, numPy, and scikitlearn, Experience with Large Language Models (LLMs) and retrieval augmented generation (RAG), Familiarity with SQL and ability to write performant queries..
Key responsibilities:
Develop and implement user-friendly processes for LLMs
Create and manage APIs using libraries like requests and fastapi
Benchmark data science and AI methods, focusing on ranking metrics
Write modular and maintainable code while adhering to software development best practices.
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