Industry
AI & ML Platforms
Which way this sector's hiring is moving
AI infrastructure, model platforms, and applied ML products.
AI and machine learning platforms includes companies building foundational model infrastructure, applied intelligence tools, and production deployment systems. Hiring in India comes from dedicated AI research divisions within multinational technology firms, global capability centres, and specialized product startups. Engineering work focuses on building scalable compute pipelines, model integration layers, and automated inference services.
- NVIDIA
- Databricks
- IBM
- TMUS Global Solutions
- KLA
- AMD
- Marriott Tech Accelerator
- GreyOrange
- Agivant Technologies
- Five9
- Talentgigs
The roles this sector actually hires
Backend Development leads hiring in this sector at just under a fifth of job postings, closely followed by Systems and Embedded Engineering and AI and LLM Engineering. Demand is broadly distributed across these top three technical domains rather than concentrated in a single role.
Share of postingsRest of marketLeading profile
- AI & LLM Applications+9
- Backend Development±0
- Systems & Embedded Engineering+8
- Fullstack Development−1
- Enterprise Platforms−11
- DevOps & Platform Engineering+1
- QA & Testing−1
- Data Engineering±0
- Generalist Software Engineer−1
- Frontend Development+1
- Data Science & ML+2
- Data Analytics & BI−4
- Domain-Specific Development−1
- Mobile Development±0
- Security Engineering±0
Sorted by share of postings · gap = share − rest of market, in points
The kinds of companies behind the sector
Hiring for AI and ML platforms is led primarily by IT Services & BPO firms. Staffing & Placement Channels, Unicorns & Indian Product, and MNCs & GCCs provide the remaining hiring volume.
This industryRest of markettop employers by openings in the last 2 weeks
- IT Services & BPO10 employers hiring
- IBM
- Agivant Technologies
- TMUS Global Solutions
- Team Geek Solutions
- SID Global Solutions
- MNCs & GCCs7 employers hiring
- NVIDIA
- AMD
- KLA
- MaxIQ
- Progress
- Staffing & Bodyshops1 employer hiring
- Alignerr
- MAANG & Tier-1 Tech4 employers hiring
- Databricks
- Google DeepMind
- Snowflake
- Unicorns & Indian Product17 employers hiring
- Truveta
- Acceldata
- GreyOrange
- Harvey
- Persistent Systems
- Established SMEs10 employers hiring
- Talentgigs
- Five9
- Marriott Tech Accelerator
- Infios
- Appian
- Funded Startups13 employers hiring
- Deccan AI
- Ema UnLtd
- LogiNext
- HireQuotient
- Sarvam
- Lala Companies5 employers hiring
- Zorba AI
- Broccoli AI
- NextDimension AI
- Skild AI
- Trao
Where in India this sector hires
Bangalore commands roughly three-quarters of all AI and ML platform hiring, representing the heaviest geographic concentration among all tech sectors. In contrast, Delhi NCR and Kolkata under-index significantly compared to their national averages, each accounting for only a minimal fraction of postings. The remaining opportunities are thinly distributed across secondary hubs like Hyderabad and Pune.
City distribution — share of this industry's postings by city (the seven city-page cities), with each city's share of the rest of the market and the over/under index.
Share of this sector's postings by city vs the rest of the market. A longer sector wing than market wing means the city over-indexes for this sector here.