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AI/ML recruitment · India

AI/ML recruitment for teams that need models in production, not in notebooks.

Hire ML engineers, MLOps, data scientists and GenAI specialists across India. We separate people who have shipped and maintained models in production from people who have only completed courses.

What we do

AI and ML roles we hire

ML engineers

Engineers who build, deploy and maintain models — feature pipelines, training, serving and monitoring.

GenAI & LLM engineers

RAG systems, fine-tuning, evaluation, agents and LLM application engineering.

MLOps & ML platform

Model deployment, CI/CD for ML, feature stores, observability and GPU infrastructure.

Data scientists

Applied statistics, experimentation, forecasting and modelling tied to business outcomes.

Computer vision & NLP

Detection, segmentation, OCR, speech and language specialists for applied products.

AI leadership

Heads of AI/ML, principal scientists and AI product leaders who can build and run a team.

Why AI/ML hiring is so hard to get right

Demand for AI and ML talent in India has exploded, and so has the number of résumés that list 'machine learning'. The gap between someone who has completed online courses and someone who has kept a model working in production — with real data drift, latency limits and on-call responsibility — is enormous, but it's invisible on a CV.

The experienced people are also the most sought after. They're usually employed, often fielding offers from global capability centres and well-funded startups, and they choose roles based on the problem, the data, the team and the compute — not just the salary.

How we assess AI and ML candidates

We screen for evidence of production work: what the model did, what data it used, how it was deployed and monitored, what went wrong and how they fixed it. We look at the engineering around the model — pipelines, testing, cost and latency — because that's where most AI projects fail. For GenAI roles we probe retrieval, evaluation and guardrails, not just prompt writing.

We also qualify the practical side early: CTC expectations (AI salaries move quickly — see our salary benchmarks), notice period, location and remote preferences, and what kind of problems the candidate wants next. That lets us pitch your role honestly and close candidates who will stay.

Hiring your first AI team vs scaling an existing one

If you're hiring your first ML engineer, the biggest risk is hiring a researcher when you need a builder, or the other way round. We help you define the first roles around the problems you want solved and the data you actually have. If you're scaling a team, we build repeatable pipelines for each level and keep the quality bar consistent across interviewers.

We hire across India — Bengaluru, Hyderabad, Pune, NCR, Mumbai, Chennai and Ahmedabad — and for remote-first teams.

How it works

From brief to joining, in five steps

Brief call (20 minutes)

We agree the role, must-haves, salary band, notice-period tolerance and the interview loop — before a single CV moves.

Market map

We tell you honestly how many people fit, where they are and what they'll cost, so expectations are set on day one.

Screened shortlist

You get a small set of interviewed, pre-qualified candidates with notes on skills, motivation, CTC and notice — not a pile of résumés.

Interviews & feedback

We schedule, chase feedback within 24 hours and keep candidates warm, so good people don't drift to another offer.

Offer, notice & joining

We negotiate the offer, manage counter-offers and stay in touch through the notice period until the person actually joins.

Why ScoutforU

A specialist partner, not a CV-forwarding agency

  • Screening for production experience, not course certificates
  • Recruiters who understand ML, MLOps and GenAI vocabulary
  • Passive-candidate outreach to people not on job portals
  • Honest market and salary guidance before you start
  • Hiring across India and for remote-first teams
  • Pay only when your hire joins

Skills we hire for

PythonPyTorchTensorFlowLLMs & RAGLangChainVector databasesMLOpsKubeflowMLflowSparkComputer visionNLPRecommendation systemsForecasting

Based in Ahmedabad, Gujarat, India. Mon–Sat, 10:00–19:00 IST.

+91 99094 01741 · career@scoutforu.com

FAQs

Common questions

How do you tell a strong ML engineer from a weak one?
We ask for detailed evidence of production work — the problem, data, model, deployment, monitoring and what went wrong. Strong engineers explain trade-offs and failures clearly; weak profiles stay at the level of algorithms and courses.
Do you hire GenAI and LLM engineers?
Yes — RAG, fine-tuning, evaluation, agents and LLM application engineering, as well as the MLOps and platform engineers who run them.
What do AI/ML engineers cost in India?
It varies widely by experience, city and company type, and moves quickly. Our AI/ML salary benchmarks article gives current ranges, and we share a role-specific view in the market map before you start.
Can you hire for remote AI teams?
Yes. We hire across Indian cities and for remote-first and hybrid teams.
How long does it take to hire an ML engineer?
It depends on seniority and niche. We share a realistic timeline after mapping the market for your exact role; senior and niche searches take longer because the candidates are passive.

Talk to a recruiter

Building an AI team?

Tell us the problem you're solving. We'll help you define the right first roles and find people who have done it before.