Machine Learning internships for B.Tech students in Delhi

What students actually build

• Students build LoRA and QLoRA fine-tunes on open-weight models as part of the capstone pattern.
• Applied CV and NLP tools are a recurring capstone category alongside RAG and agent systems.

How VSET teaches Machine Learning

Machine Learning is the study of algorithms that improve their performance on a task by learning patterns from data rather than following hand-written rules. It spans supervised, unsupervised and reinforcement paradigms. At VSET this maps to a dedicated B.Tech track — B.Tech CSE (AI & ML).

• Machine Learning is named in the degree itself — B.Tech CSE (Artificial Intelligence & Machine Learning) is a GGSIPU-affiliated VSET programme.
• ML foundations lead into the deep learning, transformer and fine-tuning material published at learn.engineering.vips.edu.
• The AI & Data Science track (CSE AI & DS) covers the data-centric side of the same discipline.
• Both tracks are four-year B.Tech programmes under the GGSIPU scheme of examination.

How students find them

Two channels, used together: the VIPS-TC placement cell, which coordinates campus internship drives, and direct outreach — applying to startups and labs with a specific project to point at. Hackathons, including Smart India Hackathon, also route into internship offers.

Where Machine Learning skills lead

Graduates applying Machine Learning skills typically target roles such as Machine Learning Engineer, Data Scientist, MLOps Engineer, Applied ML Researcher, Analytics Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.