AI & ML Platforms
AI infrastructure, model platforms, and applied ML products.
Over the Jan 04 to May 17 window, AI & ML Platforms carried 2672 postings from 385 unique companies, with the verdict cooling at growth of ~-24% between halves.
Hiring is cooling at ~-24% between halves of the window, peaking at Jan 18.
AI & ML Platforms
Backend Development leads at ~16%, followed by Systems & Embedded Engineering at ~16% and AI & LLM Applications at ~15%. Others account for ~23%.
| Rank | Profile | Postings | Share |
|---|---|---|---|
| 1 | Backend Development | 425 | ~16% |
| 2 | Systems & Embedded Engineering | 424 | ~16% |
| 3 | AI & LLM Applications | 405 | ~15% |
| 4 | Fullstack Development | 255 | ~10% |
| 5 | DevOps & Platform Engineering | 248 | ~9% |
| 6 | Enterprise Platforms | 159 | ~6% |
| 7 | Generalist Software Engineer | 127 | ~5% |
| — | Others (aggregate of remaining roles) | 627 | ~23% |
Backend Development is the dominant profile at ~16% of AI & ML Platforms postings.
AI & ML Platforms
AI & ML Platforms is more open to freshers than the market average, with about 12% of postings at entry or junior seniority versus a market baseline of about 8%. That makes it a comparatively accessible industry for early-career candidates.
Modestly more open to freshers than the market: about 12% of postings are entry or junior.
AI & ML Platforms
AI & ML Platforms hiring is established-firm-dominated: More Established at ~67% and Soonicorns at ~15% lead the mix.
More Established account for ~67% of AI & ML Platforms postings.
AI & ML Platforms
AI & ML Platforms hiring is led by Bangalore at ~60% of postings. The remaining cities track close to their national shares for this industry.
Bangalore dominates AI & ML Platforms hiring at ~60% of postings.