AI ML Recruitment Agency in India: Data Science, ML Engineering and GenAI Hiring
PeopleLogic is an AI and ML recruitment agency in India that hires data scientists, machine learning engineers, MLOps, NLP and computer vision specialists, generative AI engineers and AI leaders for GCCs, product companies, startups and enterprises. Our Bengaluru-based recruiters screen for real technical depth and cover permanent, contract and managed hiring. We have 18+ years in recruitment.
Comparing partners? Use our 10-point checklist for choosing a recruitment agency in India.
WHY A SPECIALIST
AI ML Recruitment Agency in India: Why Specialist Recruiters Matter
AI and machine learning roles are among the hardest to hire for. The field covers very different specialisations, from data engineering and applied machine learning to MLOps, research, computer vision and natural language processing, and the skills needed differ sharply between them. A CV full of the right keywords rarely shows whether someone has built and shipped a model.
As an AI ML recruitment agency in India, PeopleLogic uses recruiters who work in data and AI hiring every day, so a brief is understood in the language of the work. We help technical hiring managers by:
- Telling specialisations apart. We separate data scientists, ML engineers, MLOps engineers and researchers, so you meet the right profile for the problem.
- Reaching passive talent. Many strong AI and ML engineers are employed and not applying. We approach them directly.
- Screening for depth. We check skills in areas such as Python, machine learning and data science, and assess problem-solving and delivery experience.
- Advising on the market. We share information on notice periods, counter-offers and where talent sits, so offers land first time.
HIRING MODELS
AI/ML Hiring Models We Offer
Permanent AI/ML hiring
Specialist search for individual contributors and AI leaders, from ML engineers to generative and agentic AI specialists. See our mid and senior hiring and leadership hiring services.
AI/ML hiring programmes for GCCs
Structured hiring for capability centres building AI and data teams in India. See our GCC recruitment agency page and our RPO services in India.
Contract and contract-to-hire
Flexible AI and ML engineers for model builds, GenAI pilots and data platform projects. See our IT contract staffing company in India page.
Team hiring
Groups of data, ML and platform engineers hired together so a workstream can start at once.
ROLES WE HIRE
AI and ML Roles We Recruit
Data science and applied ML
Data scientists, applied scientists and machine learning engineers who build and tune models for products and operations.
MLOps and ML platform
MLOps engineers, ML platform engineers and DevOps specialists who deploy, monitor and scale models.
Generative AI and NLP
Generative AI engineers, LLM application developers, NLP engineers and prompt and retrieval specialists.
Computer vision and research
Computer vision engineers, AI researchers and applied AI scientists.
Data engineering and analytics
Data engineers, analytics engineers and BI specialists who feed AI teams. See data and analytics recruitment.
AI leadership
Heads of AI, heads of data science and engineering leaders. See engineering leadership hiring.
WHERE AI TEAMS HIRE
Bengaluru and Pan-India AI/ML Hiring
Bengaluru is a major AI and ML talent hub in India and the home of PeopleLogic. From our Bengaluru base, our recruiters work with data scientists and ML engineers across product companies, GCCs, startups and research teams. Being local helps with interview coordination, onboarding and an understanding of how the market moves.
We recruit across India, including Hyderabad, Pune, Chennai, Mumbai, Delhi NCR, Kolkata, Ahmedabad and Tier-2 cities, and advise on where to build a team for your skill mix. PeopleLogic also serves clients in APAC through its Australian entity.
RELATED SKILLS
AI Teams Need More Than ML Engineers
AI teams rarely hire in isolation. They need data, engineering and platform skills alongside ML expertise. We can hire the whole stack for you:
- Software and platform engineers. See software engineering recruitment.
- Cloud and DevOps engineers. See cloud computing talent.
- Security specialists. See cybersecurity recruitment.
- Broader technology hiring. See our IT staffing company in India page.
OUR PROCESS
How We Run an AI/ML Hiring Mandate
1. Problem and stack scoping
We agree what the team is building, the stack, the seniority and the mix of research and engineering skills needed.
2. Market mapping
We map where the skills sit and how competitive the market is for your roles.
3. Sourcing
We search our network and approach passive candidates directly.
4. Technical screening
We screen for verifiable skills and delivery experience before profiles reach you.
5. Interviews and offers
We coordinate interviews, share feedback and manage offers through notice periods.
6. Onboarding and review
We stay in touch until the candidate joins and review progress with you.
WHO WE WORK WITH
Client Types
We hire AI and ML talent for GCCs and GICs building AI and data teams in India, product companies, startups (see our recruitment agency for startups), IT services firms and enterprises, including financial institutions (see our BFSI recruitment agency page). Read more in our case studies.
WHY PEOPLELOGIC
Why PeopleLogic for AI/ML Hiring
- More than 18 years in recruitment, with a dedicated GCC hiring practice since 2019.
- Specialist recruiters for data, AI and technology roles, based in Bengaluru.
- Permanent, contract, leadership and managed hiring from one partner.
- Pan-India reach, with a network of over 2 million professionals.
Read our guide to choosing a recruitment agency in India for questions to ask any partner.
FAQ
Frequently Asked Questions About AI and ML Recruitment in India
What does an AI ML recruitment agency do?
It identifies, screens and places candidates for AI, machine learning and data science roles, using recruiters who understand the specialisations well enough to judge real capability rather than keywords.
Why use a specialist recruiter instead of a general tech recruiter?
AI and ML roles span many specialisations and the skills differ between them. A specialist recruiter can evaluate depth and shortlist the right profile faster.
Which AI and ML roles does PeopleLogic recruit?
We recruit across data science, machine learning engineering, MLOps, generative AI, NLP, computer vision and AI research, at individual contributor and leadership levels.
Do you hire AI and ML talent in Bengaluru?
Yes. Bengaluru is our headquarters and a core market for our AI and ML hiring. We also hire across other Indian cities.
Can you support AI/ML hiring for a GCC?
Yes. We support GCCs building AI and data teams in India, from individual specialist hires to larger structured hiring programmes. See our GCC recruitment agency page.
Do you offer contract AI and ML staffing?
Yes. We provide contract and contract-to-hire AI and ML engineers for model builds, GenAI pilots and data platform projects.
How do you assess AI and ML candidates?
We screen for verifiable skills in areas such as Python, machine learning and data science, and assess problem-solving, delivery experience and fit with the team.
What is the difference between a data scientist and an ML engineer?
A data scientist usually explores data, builds and evaluates models and shares insights. An ML engineer focuses on putting models into production reliably. Many teams need both, and the balance depends on the product.
What does an MLOps engineer do?
An MLOps engineer builds the pipelines and infrastructure that deploy, monitor and retrain models in production. The role sits between data science, software engineering and DevOps, and it is often hard to find.
Can you hire AI leaders such as a head of data science?
Yes, through confidential leadership search. See our leadership hiring service.
Which cities do you cover?
We recruit across India, including Bengaluru, Hyderabad, Pune, Chennai, Mumbai, Delhi NCR, Kolkata, Ahmedabad and Tier-2 cities.
BUILDING AN AI TEAM?
Tell us what you are building and we will map the right profiles.
From one ML engineer to a full AI team, talk to our hiring specialists.
