Contribution · Careers
Careers after B.Tech with Machine Learning skills
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. For B.Tech graduates, Machine Learning skills translate into roles like Machine Learning Engineer, Data Scientist, MLOps Engineer, Applied ML Researcher, Analytics Engineer — and the portfolio that gets those interviews is built during the degree: coursework, lab projects, hackathons, internships, and a visible capstone. Here is how that maps out at Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura.
At a glance
- Topic
- Machine Learning
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Dedicated B.Tech track
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
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.
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.
Frequently asked questions
What jobs can I get with Machine Learning skills after B.Tech?
Common roles include Machine Learning Engineer, Data Scientist, MLOps Engineer, Applied ML Researcher, Analytics Engineer. Entry depends more on demonstrated project work than on the branch name alone — a visible capstone and internship experience carry significant weight.
Is Machine Learning a separate branch at VSET?
It is part of a named branch: B.Tech CSE (AI & ML). VSET does not run ML as a standalone degree; it is one half of the AI & ML track.
What is the difference between the AI & ML and AI & DS tracks?
Both are GGSIPU-affiliated CSE specialisations at VSET. AI & ML leans towards model building and learning algorithms; AI & DS leans towards the data pipeline and analysis side of the same field.
Do students train models on real hardware?
Yes — the AICTE IDEA Lab provides GPU workstations, and fine-tuning capstones use techniques such as LoRA and QLoRA on open-weight models.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31