AI/ML Internship

About the Role

This internship offers a rare opportunity to work on real AI projects — not toy datasets, but production RAG pipelines, LLM integrations, and custom NLP tools. You will work alongside our AI engineer, helping to build and test intelligent systems that power client applications. If you love machine learning and want to go beyond classroom assignments, this is the right place.

Tech Stack

Requirements

• Strong Python programming skills — comfortable writing modular, clean scripts.
• Basic understanding of machine learning concepts: regression, classification, neural networks.
• Familiarity with NumPy, Pandas, and at least one ML framework (Scikit-Learn or PyTorch).
• Ability to read and understand ML research papers at a surface level.

Responsibilities

• Assist in building and evaluating RAG (Retrieval-Augmented Generation) pipelines.
• Test and benchmark different LLM models on accuracy, latency, and cost metrics.
• Preprocess, clean, and structure datasets for model training and fine-tuning experiments.
• Integrate AI inference endpoints into REST API wrappers using FastAPI.
• Document experiments, model parameters, and performance benchmarks systematically.