AI Research Intern

Cehpoint; India; Remote; INR 112,000 - 223,000; Full time

Benefits offered by this job

Remote internship

Hardware allowance

Career progression to full-time

Job summary

Cehpoint in India is seeking a motivated intern to conduct rigorous benchmark evaluations, hallucination audits, and prompt optimization experiments to maximize production model reliability. You will analyze results, write up findings, and contribute to improvements in retrieval evaluations.

The role requires Python proficiency and a strong interest in ML/LLMs, with a focus on producing concise, actionable experiment summaries and recommendations.

Qualifications

• Foundations of ML and NLP: attention mechanisms, transformer models, embeddings.
• LLM evaluation metrics and methodologies (RAG triads, faithfulness, answer relevancy).
• Advanced RAG strategies: parent-child chunking, reciprocal rank fusion, hybrid BM25 + dense search.

Responsibilities

• 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.

Skills

Python

ML/LLMs

Analytical mindset

Writing up findings

Tools

PyTorch

NumPy

Pandas

Scikit-learn

Job description

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

Analytical mindset Python Interest in ML/LLMs Writing up findings

Section 02

Mandatory Foundational Knowledge

• 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

Section 03

Mandatory Practical Skills & Architecture

• 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

Section 04

Problem Solving, Execution Rigor & Curiosity

• 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

Section 05 Practical evaluation benchmark

5-day live technical evaluation milestone

5-Day Live Research Milestone: Run benchmark evaluations on 3 RAG chunking/retrieval strategies and present quantifiable analysis.

Institutional hiring protocol: candidates who clear resume screening take a live practical milestone of strictly 5 working days. Verifiable completion and code audit by your assigned engineering mentor is the sole prerequisite for the official offer letter.

Section 06

Compensation & Advancement

• 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.

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