AI Research Intern

Conduct rigorous benchmark evaluations, hallucination audits, prompt optimization experiments, and retrieval evaluations to maximize production model reliability.

• Foundations of machine learning and NLP: attention mechanisms, transformer models, embeddings
• LLM evaluation metrics and methodologies (RAG triads, Ragas, faithfulness, answer relevancy)
• Advanced RAG strategies: parent-child chunking, reciprocal rank fusion, hybrid BM25 + dense search
• Python scientific stack: PyTorch, NumPy, Pandas, Scikit-learn

• Building automated benchmark harnesses and reproducible evaluation pipelines
• Statistical analysis of model failure modes across adversarial inputs
• Synthetic data generation and fine-tuning dataset preparation
• Authoring clear, concise technical experiment summaries and actionable recommendations

• Relentless intellectual skepticism toward LLM outputs and dedication to eliminating hallucinations
• Eagerness to track and evaluate state-of-the-art model releases and open weights
• Curiosity regarding agent planning algorithms and multi-agent consensus protocols

• Compensation as published: Paid internship — ₹10,000–₹20,000/month.
• Fully remote work from anywhere in India with home-labour hardware allowance.
• Direct progression into full-time corporate appointments on milestone verification.