AI/ML Research Intern

Batch: 2027. Who You Are: - Strong mathematical, statistical, and probabilistic foundation in core ML - Strong Python skills; working knowledge of Transformer models and LLM APIs (prompting, tool calling) - Evaluation methodology: designing metrics, building test sets, and rigorous analysis - Academic/project exposure to NLP, CV, or document understanding (OCR, layouts, tables)