MigRizo TeamIn this guide9 sections
India has one of the largest pools of engineers working in AI and machine learning, concentrated in cities like Bengaluru, Hyderabad, Pune, Chennai and the Delhi region. The challenge is not finding people who list AI on their profile. It is finding the ones who have shipped it.
This guide explains the roles, the skills worth testing, interview questions that separate real experience from buzzwords, and the red flags to watch for.
The Roles, Explained
Applied AI or LLM Engineer
Builds product features on large language models: retrieval, tool use, evaluation, and keeping cost and latency in check.
Machine Learning Engineer
Trains, tunes and serves models in production, with feature pipelines, monitoring and retraining.
Data Scientist
Answers business questions with data and models: statistics, experiment design and clear communication.
MLOps Engineer
Runs the platform models live on: deployment pipelines, infrastructure and observability.
Most early-stage startups need an applied AI engineer first. Many also need strong data foundations, which is where a data engineer comes in before any model work pays off.
Where AI Talent in India Is Strongest
Bengaluru
India's largest technology hub, with deep experience across product companies, AI research and startups.
Hyderabad
Large engineering centres and a fast-growing base of data and machine learning talent.
Pune and Chennai
Strong engineering and data traditions, often with experience serving global clients.
Delhi Region
A broad mix of product, AI and data skills across Gurugram and Noida.
Because the work is remote, you can hire from any of these cities, and many more, without choosing an office location.
The Skills Worth Testing
- Evaluation. How do they know a model or prompt change made things better? Ask for the metric and the test set.
- Production trade-offs. Latency, cost per request, caching, and what happens when a model call fails.
- Data handling. Cleaning, labelling, privacy, and preventing leakage between training and test data.
- Software engineering. Tests, code review, and working inside an existing codebase.
- Communication. Explaining a model's limits to a product manager in plain words.
Anyone can make a demo work once. What you are hiring for is someone who can tell you, with numbers, whether it works for your users every day.
Interview Questions That Work
- 1
Something they shipped
Tell me about an AI feature you shipped. What did you measure before and after launch?
- 2
A regression
A model's answers got worse after an update. How would you find out why?
- 3
Cost pressure
How would you cut the cost of this feature by half without users noticing?
- 4
Judgement
When would you not use a large language model for this problem?
- 5
Their code
Show me a piece of code you are proud of, and one you would rewrite today.
Red Flags in Portfolios
Good signs
- Deployed projects with real users
- Clear metrics and how they were measured
- Pull requests, reviews and tests
- Honest notes on what did not work
Red flags
- Only tutorial notebooks
- Accuracy figures with no data described
- Every project is a chatbot wrapper
- No sign of working with other engineers
Designing a Take-Home Task That Works
- 1
Make it real
Use a small, realistic problem from your product, such as improving a retrieval step or evaluating two prompts.
- 2
Keep it short
Two to three hours is enough. Longer tasks put off the best people, who have other offers.
- 3
Ask for the reasoning
Request a short write-up of trade-offs and how they measured the result, not only the code.
- 4
Review it together
Spend the next interview walking through their choices. It shows how they think and how they take feedback.
The First 30 Days
- Share your data, your evaluation sets and the metrics that matter to the business.
- Start with one scoped problem with a clear definition of better.
- Agree how model changes are tested and reviewed before they reach users.
- Hold a short weekly demo so progress is visible across time zones.
Working Across Time Zones
India overlaps comfortably with Europe, the UAE and Singapore, and many engineers are used to working part of their day with US teams. Agree the number of shared hours up front. Our guide to working for a US startup from India shows how the best teams set this up from the talent side.
What It Costs and How to Hire
Specialist AI skills carry a premium over general software engineering. For the full picture of pay, contributions and fees, read what it really costs to hire a software engineer in India. You do not need an Indian company to hire; see how to hire in India without an entity.
Meet Verified AI EngineersShare the role and see interviewed AI and ML engineers in India within one working day.Common questions
Where can I hire AI engineers in India?
Through platforms that vet engineers, through job boards, or through your network. MigRizo shares verified AI and ML engineers who have already been interviewed, so you can compare them on the same questions before you meet them.
What skills should an AI engineer have?
Beyond model knowledge, look for evaluation (measuring whether changes help), production trade-offs like latency and cost, data handling, solid software engineering and the ability to explain a model's limits clearly.
Can AI engineers in India work with US or European teams?
Yes. India overlaps comfortably with Europe, the UAE and Singapore, and many engineers regularly work part of their day with US teams. Agree the shared hours before the offer.
Key Takeaways
- 1
Be precise about the role: an applied LLM engineer, an ML engineer, a data scientist and an MLOps engineer need different skills.
- 2
Test for shipped work: evaluation, deployment, and cost and latency trade-offs, not only model knowledge.
- 3
Portfolios full of tutorial notebooks with nothing in production are the most common red flag.
- 4
A structured, recorded first interview lets you compare candidates fairly and skip your own first screen.
Found this useful? Share it with someone who is hiring or job hunting.
Read next
What It Really Costs to Hire a Software Engineer in India in 2026
Read the guide
For employersHire Verified Engineers
Verified and interviewed. Contract, payroll and compliance handled, no entity needed.
Tell us who you need
