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Artificial Intelligence Talent Pool

Artificial Intelligence Talent Pool in Visakhapatnam

15 registered early-career AI candidates in Visakhapatnam15 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 Visakhapatnam
15
Candidates in pool
15
With uploaded resume
11+
Hiring location
4
Graduating batches

Hiring AI candidates in Visakhapatnam: 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.

Visakhapatnam is one of the 25 hiring locations we maintain a dedicated Artificial Intelligence pool for. The 15 candidates in this pool are those whose home city or stated preferred work location is Visakhapatnam — so this is a supply figure for hiring into Visakhapatnam, 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 11SQL 9Machine Learning 8Git 6Deep Learning 6MySQL 6Excel 6NumPy 6Pandas 6PostgreSQL 5JavaScript 5AWS 5CSS 4Power BI 4TensorFlow 4Tableau 4Docker 4NLP 4

Where else this talent sits

Candidate home city or stated preferred work location.

Visakhapatnam
533%
Kochi
17%
Raipur
17%
Kurnool
17%
Hyderabad
17%
Thrissur
17%
Coimbatore
17%
hyderabad
17%
Vishakapatnam
17%
Banglore
17%

Graduating batches

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

2027
533%
2026
747%
2025
17%
2023
213%

Institutions represented

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

University
213%
G pullaiah college of engineering and technology
17%
INSTITUTE OF ENGENNERING AND TECHNOLOGY(AUTONOMOUS)
17%
Government engineering college jagdalpur
17%
University of Technology & Management — B.Tech
17%
College of Engineering for Women (KLMCEW) | CGPA: 8.2 / 10 | Expected Graduation Year:
17%
VIT Bhopal University
17%
Kommuri Pratap Reddy Institute of Technology
17%
St.Xavier's College
17%
Gayatri Vidya Parishad College of Engineering for Women ,Visakhapatnam
17%

Degrees in this pool

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

B.Tech / B.E. 10B.Tech 2Integrated MTech 1M.Sc, DataScience 1MSc. 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.

Visakhapatnam

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, Visakhapatnam 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 Visakhapatnam

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 Visakhapatnam — questions answered

How many artificial intelligence candidates are available in Visakhapatnam?+

Our Artificial Intelligence pool in Visakhapatnam currently holds 15 registered early-career candidates, 15 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 Visakhapatnam actually have?+

The most common skills declared by candidates in this pool right now are Python, SQL, Machine Learning, Git, Deep Learning, MySQL, Excel, NumPy, Pandas, PostgreSQL. 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 Visakhapatnam?+

Candidates in this pool graduate across 2027 (5), 2026 (7), 2025 (1), 2023 (2). 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 Visakhapatnam?+

Yes. Visakhapatnam 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.