Artificial Intelligence Talent Pool in Mumbai
81 registered early-career AI candidates in Mumbai — 80 with an uploaded resume.
Counted live from our candidate database · updated 4 Aug 2026
Hiring AI candidates in Mumbai: what you're actually working with
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.
Mumbai is one of the 25 hiring locations we maintain a dedicated Artificial Intelligence pool for. The 81 candidates in this pool are those whose home city or stated preferred work location is Mumbai — so this is a supply figure for hiring into Mumbai, not a national number filtered down for display.
What this pool looks like right now
Read from candidate profiles, not from a brochure. Everything below refreshes every six hours.
Skills present in this pool
Declared by candidates on their own profiles.
Where else this talent sits
Candidate home city or stated preferred work location.
Graduating batches
Plan a 2027 cohort in 2026 — filter by batch in the Talent Desk.
Institutions represented
Colleges with the most candidates in this pool, as entered by candidates.
Degrees in this pool
We do not filter on degree unless your requirement asks us to.
Roles employers hire into
Typical early-career titles for this pool.
- AI Intern
- Generative AI Intern
- NLP Intern
- Computer Vision Intern
- AI Engineer Trainee
Tell us your hiring requirement.
We'll tell you who's available.
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.
How to screen this pool
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.
- 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
How the process runs
Four steps from requirement to shortlist. You never write a job description.
- 1
State the requirement
Role, volume, Mumbai and graduating batch — in plain English.
- 2
See the matching pool
A live count plus the city, batch and college split of who matches.
- 3
Request the shortlist
Verified profiles with resumes and contact details, ranked by fit score.
- 4
Run your process
Interview and close. Next cycle, change the batch year and repeat.
Candidate availability, honestly
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.
Hire AI candidates in Mumbai
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.
- AI Intern through to AI Engineer Trainee
- Bulk and multi-city requirements as a single brief
- Batch-aware pipelines for 2026, 2027 and 2028 cohorts
- Campus & early-careers requirements answered first
Artificial Intelligence hiring in Mumbai — questions answered
How many artificial intelligence candidates are available in Mumbai?+
Our Artificial Intelligence pool in Mumbai currently holds 81 registered early-career candidates, 80 of them with an uploaded resume. That figure is a live count from our candidate database, refreshed every six hours — not an estimate. Use the Talent Desk above to narrow it by graduating batch, specific skills or a tighter location and see the matching number instantly.
Which skills do artificial intelligence candidates in Mumbai actually have?+
The most common skills declared by candidates in this pool right now are Python, SQL, Machine Learning, Pandas, NumPy, TensorFlow, MySQL, Git, Deep Learning, PyTorch. These are read from real candidate profiles, so the list shifts as the pool changes. The skills we match a Artificial Intelligence requirement against are Deep Learning, NLP, Computer Vision, TensorFlow, PyTorch, LLMs, Generative AI, Prompt Engineering and related technologies.
Which graduating batches can I hire in Mumbai?+
Candidates in this pool graduate across 2029 (2), 2028 (2), 2027 (23), 2026 (23), 2025 (5), 2024 (5), 2023 (8), 2022 (3). Campus and university-relations teams typically build a pipeline one to two batches ahead — filter by batch in the Talent Desk to see exactly what is available for your target cycle.
How should we screen artificial intelligence candidates?+
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.
Which roles do employers hire from this pool?+
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.
Do I have to post a job to hire from this pool?+
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.
How is candidate availability determined?+
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.
Can you also source artificial intelligence talent outside Mumbai?+
Yes. Mumbai 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.