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Artificial Intelligence Talent Pool

Artificial Intelligence Talent Pool in Lucknow

65 registered early-career AI candidates in Lucknow64 with an uploaded resume.

Deep LearningNLPComputer VisionTensorFlowPyTorchLLMsGenerative AIPrompt EngineeringTransformers

Counted live from our candidate database · updated 18 Sept 2026

Artificial Intelligence early-career talent pool in Lucknow
65
Candidates in pool
64
With uploaded resume
15+
Hiring location
7
Graduating batches

Hiring AI candidates in Lucknow: 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.

Lucknow is one of the 25 hiring locations we maintain a dedicated Artificial Intelligence pool for. The 65 candidates in this pool are those whose home city or stated preferred work location is Lucknow — so this is a supply figure for hiring into Lucknow, not a national number filtered down for display.

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 51SQL 44NumPy 32TensorFlow 32Pandas 31PyTorch 31Git 27Machine Learning 24Java 24MySQL 24JavaScript 23Power BI 20Excel 16Deep Learning 16CSS 15Data Analysis 15C++ 15HTML 13

Where else this talent sits

Candidate home city or stated preferred work location.

Lucknow
4265%
Delhi
23%
Ranchi
12%
Greater Noida, Delhi
12%
Coimbatore
12%
Patiala, Punjab, India
12%
Gwalior
12%
Bhubaneswar
12%
vijayawada
12%
Visakhapatnam
12%

Graduating batches

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

2028
35%
2027
2132%
2026
1726%
2025
46%
2024
46%
2023
69%
2022
12%

Institutions represented

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

University
46%
Institute of Technology
35%
Institute of Technology (PSIT)
23%
Dr. A.P.J Abdul Kalam Institute of Technology, Tanakpur
12%
College 70% | 2022–26
12%
University of Haryana
12%
Punjabi University Patiala
12%
University | 2021 - 2025 | CGPA: 8.32
12%
University Lucknow 2024-2026
12%
Institute of Information Technology Sep. 2022 – June 2026
12%

Degrees in this pool

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

B.Tech / B.E. 33BCA 4B.Tech 3MBA 1Masters of Science 1B.Sc 1B.Tech 1B tech 1BTECH 1

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.

Lucknow

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, Lucknow 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 Lucknow

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 Lucknow — questions answered

How many artificial intelligence candidates are available in Lucknow?+

Our Artificial Intelligence pool in Lucknow currently holds 65 registered early-career candidates, 64 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 Lucknow actually have?+

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

Candidates in this pool graduate across 2028 (3), 2027 (21), 2026 (17), 2025 (4), 2024 (4), 2023 (6), 2022 (1). 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 Lucknow?+

Yes. Lucknow 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.