Early-career AI candidates in Gurgaon, matched to your requirement by skills, location and graduating batch.
Counted live from our candidate database · updated 4 Aug 2026

AI is the fastest-growing early-career pool on the platform and the one where self-taught depth most often beats coursework. Candidates who have actually shipped a retrieval-augmented or fine-tuned application are still rare in India, and they attract multiple offers — speed of process matters more here than anywhere else.
Gurgaon is one of the 25 hiring locations we maintain a dedicated Artificial Intelligence pool for.
Don't post a job and wait. State what you need and see the live size and shape of the matching talent pool — before you commit to a hiring plan.
Volume is rarely the constraint in artificial intelligence hiring — signal is. These are the screens that separate a hireable candidate from a well-formatted résumé.
Four steps from requirement to shortlist. You never write a job description.
Role, volume, Gurgaon and graduating batch — in plain English.
A live count plus the city, batch and college split of who matches.
Verified profiles with resumes and contact details, ranked by fit score.
Interview and close. Next cycle, change the batch year and repeat.
We derive availability from real platform activity rather than a self-declared field. Active in the last 14 days reads as actively looking, within 45 days as open to offers, and beyond that as passive. Shortlists are weighted towards candidates who will actually reply to you.
Tell us the volume, the cities and the graduating batch. Our talent desk comes back with a matched shortlist — verified profiles, resumes and contact details.
The live count for this pool in Gurgaon is temporarily unavailable. Submit your requirement and our talent desk will come back with the exact number of matching candidates along with a shortlist plan.
We match Artificial Intelligence requirements against Deep Learning, NLP, Computer Vision, TensorFlow, PyTorch, LLMs, Generative AI, Prompt Engineering, Transformers, RAG and related technologies, and rank candidates by how much of your specific skill list they cover.
You can filter this pool by graduating batch in the Talent Desk, which is how most campus and early-careers teams plan a cohort one or two years ahead.
A working demo, ideally deployed, not a notebook screenshot. Understanding of evaluation — how do they know it works?. Awareness of cost, latency and hallucination trade-offs. Fundamentals: they should be able to explain attention. AI is the fastest-growing early-career pool on the platform and the one where self-taught depth most often beats coursework. Candidates who have actually shipped a retrieval-augmented or fine-tuned application are still rare in India, and they attract multiple offers — speed of process matters more here than anywhere else.
Most commonly AI Intern, Generative AI Intern, NLP Intern, Computer Vision Intern, AI Engineer Trainee. Candidates typically come from B.Tech CSE/AI-ML, M.Tech, M.Sc AI, MCA backgrounds, though we do not filter on degree unless your requirement asks us to.
No. This is a talent-access product, not a job board. You describe the requirement — role, volume, location and batch — and our talent desk returns matched candidate profiles with resumes and contact details. Job posting exists separately on MyInternships and is unaffected by this.
From real activity on the platform, not a self-declared status. Candidates who have been active in the last two weeks show as "actively looking", up to 45 days as "open to offers", and beyond that as passive. That means the availability signal on a shortlist reflects who will actually respond to you.
Yes. Gurgaon is one of 25 cities we maintain dedicated Artificial Intelligence pools for, and we source pan-India including tier-2 and tier-3 locations. Multi-city requirements are handled as a single brief, and the Talent Desk shows you the city-by-city split before you commit headcount.