Your AI Roadmap Stalls Without The Right Talent
Every company wants to be AI-first. Few can hire the data scientists, ML engineers, and AI researchers who make it happen. We can.
India's AI and data analytics market is growing at 30%+ CAGR, with every enterprise from banks to FMCG companies racing to build data capabilities. But the supply-demand gap is staggering — India produces thousands of data science certificate holders but far fewer practitioners with production ML experience, LLM fine-tuning skills, or real-world data engineering chops. A senior ML engineer in Bengaluru fields 10+ recruiter messages per week. Offer-to-join ratios for AI roles have dropped below 50% at many companies. The talent that exists is concentrated in a handful of companies — Google, Amazon, Flipkart, and a few AI-native startups. Hire Induct's Data & AI practice is staffed by recruiters with technical backgrounds who can distinguish between a Kaggle hobbyist and a production ML engineer.
Key Roles We Fill
Why Hire Induct
Technical Depth Screening
We assess model deployment experience, not just Jupyter notebook skills. Production ML, MLOps pipelines, and system design — verified before shortlisting.
AI-Native Sourcing Channels
Beyond LinkedIn — we source from Kaggle, GitHub, research paper authors, conference speakers, and AI community meetups.
Startup-to-Enterprise Bridge
Whether you need a founding ML engineer or a team of 20 data analysts for an enterprise data lake, we scale to your stage.
Counteroffer Intelligence
We map competing offers, ESOP valuations, and retention bonuses in real-time — so your offer wins the first time.
Built a Bank's AI Centre of Excellence from Scratch — 15 Hires in 12 Weeks
A leading private bank in Mumbai wanted to establish an internal AI CoE for credit scoring, fraud detection, and customer analytics. They needed ML engineers, data scientists, and an AI head — all competing against big tech salaries.