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For employers · AI, ML & Emerging Technology

Hire AI/ML Intern from India’s verified campus pool

A practical brief for employers hiring one Machine Learning intern: the Machine Learning skills worth screening for, the work they can ship in ninety days, current stipend bands and the fastest way to publish the role.

Our AI writes the listing · every employer verified before going live

₹18,000–₹45,000
Typical monthly stipend
1.2L+
Verified candidates
5,000+
Colleges & campuses
~2 hrs
To first applications

The hard part of hiring one Machine Learning intern is not finding applicants. It is writing a brief specific enough that the right applicants recognise themselves in it.

An "AI/ML" brief spans model work and the plumbing around it. Be explicit about which half you need: candidates strong at modelling are frequently weak at deployment, and the reverse is just as common.

Worth separating from AI/ML Internship: same skills, different commitment. AI/ML Intern is a hire you scope around one deliverable, whereas ai/ml internship is framed as a programme with a mentor and a fixed duration. Pick the framing that matches what you can actually offer, because candidates read the difference.

This page is written for the person doing the hiring, not for candidates. It covers what to screen for, what the market pays in 2026, and what to put in the listing. Posting the Machine Learning role here is free.

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What one Machine Learning intern actually does in the first 90 days

Read these as candidates will: as evidence that somebody has thought about what the term is for. A listing without one of them reads as headcount rather than a job.

  • Take one model from notebook to a served endpoint with an evaluation attached
  • Build a baseline, beat it, and document why the better model is better
  • Create a held-out evaluation set that reflects real usage
  • Package one model behind an API with input validation
Put one of these in your listing
Listings with a named deliverable get more applications — and better ones.
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Machine Learning skills worth screening for

Rank them before the first interview. Deciding afterwards which mattered is how a shortlist gets re-ordered to fit whoever interviewed best.

Screen for these
  • 1Evaluation design before model selection
  • 2Supervised versus unsupervised framing
  • 3Feature engineering
  • 4Cross-validation and leakage prevention
  • 5Precision, recall and the right metric for the cost of error
  • 6Class imbalance handling
  • 7Overfitting diagnosis
  • 8Baseline first, complexity later
Tools they should have touched
Pythonscikit-learnpandasJupyterMLflow

Do not require every tool. Most Machine Learning tooling is a week of learning for someone with the underlying skill, and each extra "must have" costs you applications.

Tag these skills on your listing
Skill-tagged listings are matched to candidates who actually have them.
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Screening questions for ai/ml intern

Ask the same ones of everybody. The point is comparison, and comparison needs a constant.

Q1

Would you rather improve the model or improve the data?

What a good answer shows: Whether they know data quality usually wins

Q2

Your accuracy is 97% but the model is useless. How?

What a good answer shows: Base rates and imbalance — the classic trap

Q3

What is leakage and how have you caused it?

What a good answer shows: Honesty plus real project experience

Q4

Which metric matters if a false negative costs more than a false positive?

What a good answer shows: Business-aware evaluation

Leave silence after the follow-up. The most useful part of these answers usually arrives after the candidate thinks they have finished.

Post the role and start screening this week
First applications usually arrive within about two hours of going live.
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Where the Machine Learning candidates come from

Thousands of highly skilled fresh graduates and final-year students are already registered, from India’s premium institutes and its strongest regional campuses. Filter on Python, graduation year and city, and reach them the same day you post.

1.2L+
Verified candidate profiles
5,000+
Colleges and campuses covered
IIT · IIM · BITS · NIT
Premium institutes in the pool
100%
Employers verified before going live
Filter the pool by
  • Skill tags — filter directly on Python, scikit-learn, pandas and the rest of the Machine Learning stack
  • Institute tier, if a specific campus cohort matters for this role
  • Portfolio and project evidence attached to the profile, rather than a résumé alone
  • Graduation year and current semester, so you only see candidates free when you need them
  • Availability window and notice, so a six-month role does not shortlist a six-week candidate

You can also work the other way round: search the pool first, shortlist the Machine Learning profiles you want, and post the listing knowing who you are hoping to reach.

Reach this pool today
Post the role, or let the AI matcher rank candidates against your brief.
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What to pay one Machine Learning intern in 2026

Typical monthly stipend
18,000 – ₹45,000

Budget ₹18,000–₹45,000 a month, and decide where in the band you sit before the first interview rather than during the offer call.

City moves the number more than skill does

Bengaluru, Hyderabad, Pune, Mumbai, Gurugram and Noida sit at the top of the band. Tier-2 cities typically run 25–40% lower for the same skills and the same output.

Benchmark before you decide, not after

The stipend calculator on this site uses live listing data for this role and city. A band chosen from memory is usually a year out of date, always in the same direction.

Duration affects the rate

Six-month commitments generally command more per month than six-week ones, because the candidate is giving up other options. Price the commitment, not just the hours.

Match the payment cycle to a student’s reality

Monthly on a fixed date, not "at the end of the project". Students plan rent and fees around the date, and irregular payment is the fastest route to a mid-term exit.

Publish the role with your stipend band
Listings that state the stipend get noticeably more qualified applicants.
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Scoping a single Machine Learning intern properly

One intern, one owner, one project that matters. Single hires fail for a boring reason: the work was never scoped, so the intern spent the term on whatever was in front of whoever was free that day.

Write the deliverable first

Pick one item from the Machine Learning list above and make it the term’s goal. If nobody can name the deliverable, the role is not ready to post.

Name the owner

One person who reviews the work weekly and answers questions daily. Shared ownership at this level means nobody owns it.

Plan for week one

Access, environment, a first small task and a person to sit with. The first week decides whether you get twelve productive weeks or eight.

Set a mid-point checkpoint

A halfway review lets you change scope while it still matters and gives feedback while the intern can still act on it.

Set the programme up properly
Free templates: JD, offer letter, internship policy and hiring checklist.
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How to post ai/ml intern on MyInternships.in

You do not need a prepared job description. Answer a few questions in the chat and the assistant drafts the listing, title and skill tags for you.

01
Describe the role in a sentence

Say what you need — "AI/ML Intern for a three-month project, Python and scikit-learn" — and answer a few short questions. No forms.

02
The AI writes the listing

You get a full Machine Learning listing back in seconds, written to attract applications rather than to satisfy a form. Change anything you disagree with.

03
We verify your company

We check the company behind every listing before it publishes. Candidates see that badge, and it is the difference between a listing being ignored and being answered.

04
Applications start arriving

Usually within a couple of hours. Shortlist using the screening questions above, or let the AI matcher rank the pool against your brief.

Free plan: one listing, live after verification. Starter ₹499: five listings a month, published instantly, full applicant contact and résumé access. Growth ₹999: fifteen listings with AI candidate matching.

Start the two-minute posting chat
No long forms — answer a few questions and review the draft.
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Mistakes that cost you the good Machine Learning candidates

None of these are hypothetical. They are the patterns behind listings that get plenty of applications and no hires.

Listing every technology instead of the three that matter

A Machine Learning listing with fourteen required tools reads as a company that does not know what it needs. Strong candidates self-select out; the ones who apply anyway have inflated their CVs to match.

Interviewing slowly

Good candidates have two or three processes running. A week between the first call and the offer loses them, and the delay is almost always internal scheduling rather than a real decision.

Screening on marks instead of evidence

CGPA has almost no relationship with output in this role. One project they can explain in depth, including what went wrong, predicts far better.

No named deliverable

"Assist the team" tells a candidate nothing and tells you nothing at review time. Name the work, in the listing, from the deliverables above.

Avoid all four — post with the AI assistant
It drafts a specific, skill-tagged listing instead of a generic one.
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AI/ML Intern — frequently asked questions

How much Machine Learning experience should we expect?+

None professionally, and that is the point. What you should expect is evidence: something built, run or fixed involving Python or scikit-learn, that they can talk about in depth. Screen on evaluation design before model selection and supervised versus unsupervised framing; treat everything else on the list as trainable during the term.

Is ai/ml intern enough to move a real project forward?+

Yes, within a scoped brief. Take one model from notebook to a served endpoint with an evaluation attached is achievable in a term with weekly review, and it is genuine output rather than a training exercise. What does not work is open-ended ownership of anything with production consequences — keep the judgement calls with the reviewer and the execution with the intern.

What stipend should we pay ai/ml intern in India?+

₹18,000 to ₹45,000 a month covers most of the market for this role. Metro product companies pay at the top of the band; tier-2 cities and services firms 25–40% lower. An unpaid listing filters for who can afford to work free rather than who is good, and roughly halves the applications you receive.

How do we screen ai/ml intern in a first call?+

Ask "Your accuracy is 97% but the model is useless. How?" — you are listening for base rates and imbalance — the classic trap. Then follow the example they give rather than moving on to your next question. Score every candidate on the same set so the shortlist stays comparable.

What should a Machine Learning intern deliver by the end of the term?+

One finished, reviewed piece of work that someone on the team would otherwise have done — not a side project nobody adopts. The deliverables above are sized for eight to twelve weeks of supervised work by a student with the fundamentals but no production experience. If they can demo it and the team keeps using it after they leave, the hire paid for itself.

Does the "Aiml" in AI/ML Intern change who we should hire?+

An "AI/ML" brief spans model work and the plumbing around it. Be explicit about which half you need: candidates strong at modelling are frequently weak at deployment, and the reverse is just as common. In screening terms, that means adding one specific check: evaluation design before model selection.

Do we need a job description ready before posting ai/ml intern?+

No. The posting assistant asks a few short questions — the role, the work, the duration, the stipend — and drafts the description, the title and the skill tags for you. You review and edit everything before it publishes, and you can paste in your own description if you already have one.

Is posting ai/ml intern on MyInternships.in free?+

Yes. One listing is free and goes live after a quick company verification, usually inside two working days. Paid plans start at ₹499 for five postings a month, publish instantly with no review wait, and unlock every applicant's résumé and contact details. Both routes reach the same candidate pool.

Still deciding? Post it free and see the applications
You can edit or close the listing at any time.
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Related roles employers hire alongside ai/ml intern

Tools and pages for your hiring

Hire ai/ml intern — post in about two minutes

Answer a few questions and our AI writes the description, suggests the title and tags the Machine Learning skills. Your company is verified, the listing goes live, and applications start arriving.

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