India’s AI/ML talent pool has expanded rapidly over the last year — adding nearly a million professionals. But if you’re hiring, you already know the reality: it doesn’t feel easier. That’s because demand is scaling faster than supply. Companies across sectors are competing for the same talent pool, and the pressure is showing up everywhere — from longer hiring cycles to rising compensation expectations. We dug into the data to break down what’s actually happening in the market — where the talent is, what skills are growing, and where hiring is getting harder.
2.75 million professionals — and demand is still winning the race
India’s AI/ML talent pool stands at 2,754,531 professionals — and it grew by nearly 977,000 people in the last year alone, a 55% year-on-year increase. That sounds like good news. And it is — partly.
The challenge is that hiring demand is growing faster than supply in most major cities. Very high hiring demand is the status across every major metro — Bengaluru, Delhi, Hyderabad, Mumbai, Chennai, Pune and more. Supply is growing, but it is not keeping pace with how aggressively companies are posting roles.
Where the talent lives — and where it’s moving
Bengaluru remains the undisputed capital of AI/ML talent in India with 478,620 professionals, but it’s not the fastest growing. Coimbatore (+72%) and Ahmedabad (+65%) are quietly building significant pools — a real opportunity for companies willing to look beyond the Tier 1 metros.
Hyderabad and Chennai are both growing at 55% — matching the national average — and are increasingly positioning themselves as genuine alternatives to Bengaluru. What’s particularly interesting is where talent is flowing within India: Bengaluru is a net receiver from almost every other city, at inflow ratios of 1.3x to 10x.
The one exception to Bengaluru’s dominance: the UAE, where outflow exceeds inflow. A signal worth watching closely for companies with international hiring ambitions.
The fastest growing job titles — and what they signal
The title growing fastest in the AI/ML space is AI Intern — up 150%. This reflects the pipeline building happening at the entry level as companies invest in developing talent rather than just buying it.
The more critical data point is AI Engineer, which grew 99% — nearly doubling in one year — with 19,828 professionals and 1,870 active job posts. This is the highest demand-to-supply pressure point in the entire dataset, and it explains the compensation pressure our clients report when hiring for this role.
“A slow interview process is not a neutral decision. With 30,917 active AI job posts, the strongest candidates are not available for long.”
The skills that matter most right now
Python dominates — 61% of all AI/ML professionals list it as a skill, with 19,287 active job posts requiring it. But the fastest-growing skills tell the more important story: the market has moved decisively from theoretical AI knowledge to applied, production-ready AI skills.
AI hiring is no longer a technology sector story
This is perhaps the most important data point for business leaders outside of tech. AI/ML hiring has moved well past the early majority — BFSI, healthcare, marketing and professional services are all building AI talent pools at significant pace.
If you are in any of these sectors and you are not yet thinking about AI/ML hiring, your competitors almost certainly are.
“If you’re in BFSI, healthcare, marketing or professional services and you’re not yet thinking about AI/ML hiring, your competitors almost certainly are.”
