MyInternships.in
Artificial Intelligence Talent Pool

Artificial Intelligence Talent Pool in India

1,200+ registered early-career AI candidates in India1,293 with an uploaded resume.

Deep LearningNLPComputer VisionTensorFlowPyTorchLLMsGenerative AIPrompt EngineeringTransformers

Counted live from our candidate database · updated 4 Aug 2026

Artificial Intelligence early-career talent pool in India
1,200+
Candidates in pool
1,200+
With uploaded resume
13+
Cities represented
7
Graduating batches

Hiring AI candidates in India: 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.

Live pool data

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.

Python 902SQL 858TensorFlow 612Numpy 606Pandas 606Git 521Java 455JavaScript 448PyTorch 421Machine Learning 392MySQL 374C++ 328CSS 325HTML 321Excel 312React 278Power BI 273Deep Learning 265

Where the talent is

Candidate home city or stated preferred work location.

Bengaluru
1108%
Pune
736%
Hyderabad
645%
Chennai
453%
New Delhi
333%
Mumbai
322%
Coimbatore
161%
Bangalore
131%
Ahmedabad
131%
Nagpur
121%

Graduating batches

Plan a 2027 cohort in 2026 — filter by batch in the Talent Desk.

2030
10%
2029
161%
2028
1028%
2027
36528%
2026
35327%
2025
13610%
2024
605%

Institutions represented

Colleges with the most candidates in this pool, as entered by candidates.

University
796%
College
413%
Institute of Technology
413%
College of Engineering
252%
College of Engineering and Technology
121%
Sri Eshwar College of Engineering
111%
Institute of Information Technology
81%
University 2023 – 2027
60%
Institute of Engineering and Technology
60%
Institute of Technology (VIT)
50%

Degrees in this pool

We do not filter on degree unless your requirement asks us to.

B.Tech / B.E. 887BCA 36B.Sc 31MCA 28B.Tech 23M.Tech / M.E. 20M.Sc 19B.Tech 16

Roles employers hire into

Typical early-career titles for this pool.

  • AI Intern
  • Generative AI Intern
  • NLP Intern
  • Computer Vision Intern
  • AI Engineer Trainee
MyInternships Talent Desk

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. 1

    State the requirement

    Role, volume, locations and graduating batch — in plain English.

  2. 2

    See the matching pool

    A live count plus the city, batch and college split of who matches.

  3. 3

    Request the shortlist

    Verified profiles with resumes and contact details, ranked by fit score.

  4. 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 India

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

Request Artificial Intelligence candidates

Matched against this pool, ranked by fit.

Graduation batches

Your details stay with our talent desk. No candidate data is shared without consent.

Artificial Intelligence hiring in India — questions answered

How many artificial intelligence candidates are available in India?+

Our Artificial Intelligence pool in India currently holds 1,299 registered early-career candidates, 1,293 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 India actually have?+

The most common skills declared by candidates in this pool right now are Python, SQL, TensorFlow, Numpy, Pandas, Git, Java, JavaScript, PyTorch, Machine Learning. 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 India?+

Candidates in this pool graduate across 2030 (1), 2029 (16), 2028 (102), 2027 (365), 2026 (353), 2025 (136), 2024 (60). 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 source for a specific city?+

Yes — we maintain city-level Artificial Intelligence pools across 25 hiring locations, and can source pan-India including tier-2 and tier-3 cities. Multi-city requirements are handled as one brief.