- RAG & NLP: Build advanced RAG pipelines and core NLP models using vector databases and semantic search.
- Prompt Engineering: Optimize complex prompt techniques, function calling, and structured outputs for deterministic agent behavior.
- Statistical Modeling: Apply rigorous statistical tests, evaluation metrics, and predictive modeling to ensure agent accuracy.
- Data Synthesis: Conduct deep exploratory data analysis and feature engineering to refine training and evaluation datasets.
- Solid Python, Pyspark & SQL Knowledge
📌 Data Scientist (Gurugram)
🏢 EXL
📍 Gurugram
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