Engineering · AI / ML

AI Fellow

Join a 6-month paid, on-site AI Fellowship in Bangalore and work on production-ready AI solutions for marquee customers.

Experience

Minimum 1 year

Location

Bengaluru

Level

Early career

About the Role

Build Real AI. Not Slideware.

Join a 6-month paid, on-site AI Fellowship in Bangalore and work on production-ready AI solutions for marquee customers. You are not shadowing and you are not doing coursework — you work on the models that serve financial institutions, under a named mentor, with your work reviewed like anyone else's.

Learn directly from founders, CXOs and industry leaders while building real-world AI systems that go live in the market. This intake is ten places.

Key Responsibilities

Work on the model layer

Evaluation datasets, retrieval experiments, fine-tuning runs and error analysis on systems that serve real customers.

Run real experiments

Form a hypothesis, test it properly, record it so somebody else can reproduce it.

Measure everything

Learn to judge a model by a metric on a held-out set, not by reading ten outputs.

Ship to production

Contribute to a component that goes live for a marquee customer during the fellowship.

Learn from the top

Direct exposure to founders, CXOs and industry leaders — not a corporate training track.

Present and defend

Show your work to the engineering team and defend the method.

What You Bring

B.E. / B.Tech / MCA.
Minimum 1 year of experience. This is not a fresher programme — we expect you to have shipped something in a working environment.
Solid Python — you write it comfortably, not just follow tutorials.
A working grasp of machine-learning fundamentals: what overfitting is, why you hold out a test set, what a loss function does.
At least one project you can explain in depth — including what failed and why. This is the part of the selection that matters most.
Available full time, on site in Bangalore, for the full six months.
Curiosity that shows up as evidence: something you built, read or reproduced because you wanted to.

What Would Be Great to Have

PyTorch or Hugging Face hands-on.
Any LLM project — fine-tuning, RAG, agents, evaluation.
A published notebook, repository or write-up.
Competition or open-source participation.

Why Join Us

You will build production AI for marquee customers rather than demos, learn directly from founders, CXOs and industry leaders, and leave with systems in the market that carry your work in them.