Reinforcement Learning internships for B.Tech students in Delhi

What students actually build

• RL methods feed into agent and control capstones alongside the LLM-centric project patterns.
• Student teams take decision-making projects into hackathons including the Smart India Hackathon.

How VSET teaches Reinforcement Learning

Reinforcement learning trains an agent to choose actions that maximise cumulative reward through interaction with an environment. It underpins control problems, game-playing systems and modern LLM preference training. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

• RL is a named topic in VSET's published AI curriculum at learn.engineering.vips.edu, together with RLHF.
• It sits alongside deep learning material, supporting deep RL methods.
• Taught within the GGSIPU-affiliated B.Tech CSE (AI & ML) track.
• The curriculum links RL to its LLM application through the RLHF content.

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 Reinforcement Learning skills lead

Graduates applying Reinforcement Learning skills typically target roles such as Machine Learning Engineer, Research Engineer, Robotics / Control Engineer, Applied Scientist, AI Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.