India opens September with hiring momentum finally turning. July’s Naukri JobSpeak showed IT back in growth and AI‑tagged roles surging. Employers are also budgeting bigger, skills‑led pay. Expect around 9.1 percent raises this year, with AI and cloud premiums reaching 30–40 percent on top of base.
What changed is focus. Recruiters are hiring in precise bursts for applied AI, data platforms, and cybersecurity, even outside tech. NIIT’s Skills Gap finds digital, data and security now core across functions. Foundit’s tracker flags a large, growing gig layer, shaping contracts and internships as entry routes.

AI skills and hiring rebound: what changed this week
Signals point to steady September demand as July’s uptick rolls forward. Naukri noted the market “steadily gaining momentum,” with fresher hiring positive and mid‑senior demand broadening. Global Capability Centres continue to add headcount, while tier‑2 markets re‑enter shortlists for faster fills and lower costs.
Hottest AI roles and pay bands now
Roles seeing rush briefs: AI engineer, data scientist, machine learning engineer, data platform engineer, MLOps, and cybersecurity analyst. Indicative bands in tier‑1 product firms: Data Scientist 35–70 LPA; Senior ML Engineer 50–120 LPA, with top‑end higher for generative AI specialists. Skill premiums can lift pay 30–40 percent.
| City | Latest signal |
|---|---|
| Bengaluru | 27,840 tech openings in July 2026 |
| Hyderabad | +16% YoY white‑collar hiring in July |
| Pune | 11,050 tech openings in July 2026 |
| Kolkata | +17% YoY white‑collar hiring in July |
| Delhi‑NCR | Flat in July; selective AI demand persists |
Top cities for AI jobs: Bengaluru‑Hyderabad‑Pune versus tier‑2 hotspots
Bengaluru remains the volume leader, while Hyderabad accelerates on GCC expansion and platform roles. Pune’s finance and analytics hiring stands out. Tier‑2 hubs—Indore, Coimbatore, and emerging LinkedIn picks like Visakhapatnam and Surat—offer shorter cycles and rising AI‑adjacent openings for first movers.
Resume keywords checklist to get shortlisted today
Front‑load proven skills: Python, SQL, Azure or AWS, Databricks or Snowflake, MLOps, Docker, Kubernetes, LLMs, Retrieval‑Augmented Generation, and prompt engineering. Mirror role language, show a shipped project, and apply fast via ATS. Speed boosts response rates materially. Students should target internships and gigs this week.

