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Technology · India · ISCO 2511

AI / ML Engineer

ExposedImpact timeline 5-7y
50/ 100

AIQ Score

Exposed

160K

Jobs in India

₹12–35 LPA

Typical salary

+40%

Growth outlook

5-7y

Impact timeline

What this means

AIQ Score 50/100 — Exposed. A meaningful share of your work is exposed to AI-driven change.

The one tech role AI creation is expanding, not shrinking. Engineers who build and govern AI systems are the picks-and-shovels of this cycle.

The AIQ Score measures how exposed your work is to AI-driven change. It is presented on a 0–100 scale, with higher scores indicating greater exposure.

This AI / ML Engineer score is the market average. Your own exposure depends on the tasks you actually do.

Recommended AI tools

LangChainHugging FaceOpenAI APIVertex AI

Adopt these early — AI fluency is becoming the baseline expectation in this role.

Your next three moves

  • Specialise in evaluation and safety of LLM systems
  • Build production-grade RAG and agent pipelines
  • Stay current — this field reinvents itself every 6 months

Where AI touches this job

Pipeline and glue code

55%

Model experimentation

40%

System reliability engineering

20%

Research direction setting

10%

Skills that keep you durable

Deep learningLLM fine-tuningMLOpsDistributed systemsEvaluation design

Top 50 in-demand Indian roles. Exposure grounded in ILO, WEF Future of Jobs 2025, OECD and NCO 2015 (DGE). Salaries are indicative India medians (₹ LPA). Scores are exposure estimates, not displacement predictions. Data sources: ILO, WEF Future of Jobs 2025, OECD Employment Outlook, DGE/NCO 2015, PwC AI Jobs Barometer 2025, McKinsey (2025), Goldman Sachs (2025-26).

Your next move

Generic scores inform. Your AIQ Score tells you where you stand.

Upload your CV and get your personal AIQ Score for AI / ML Engineer in India, plus the report and roadmap behind it.

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