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AI · Skills roadmap

AI/ML Engineer: pay and demand

Train, ship and run machine learning and LLM systems that hold up in production.

  • 40 to 64 weeks to job-ready, part time
  • 63 lessons across 24 skills
  • 12 portfolio projects

75 lessons and projects. Progress saves in this browser.

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Pay by level

LevelRegionTypical rangeSourceAs of
BeginnerIndia₹4 to 8.2 LPAPayScale India, Machine Learning EngineerDec 2024
IntermediateIndia₹5.5 to 15.2 LPAPayScale India, Machine Learning EngineerJul 2026
AdvancedIndia₹14 to 28.3 LPAPayScale India, Machine Learning EngineerFeb 2026
  • Beginner, India: Middle half (25th to 75th percentile) of base salary for less than 1 year of experience, from 94 profiles. Read on 2026-09-30.
  • Intermediate, India: Middle half (25th to 75th percentile) of base salary for 1-4 years of experience, from 156 profiles. Read on 2026-09-30.
  • Advanced, India: Middle half (25th to 75th percentile) of base salary for 5-9 years of experience, from 67 profiles. Read on 2026-09-30.

Typical, not guaranteed. Pay depends on city, company and what you can show.

Demand

50 current postings analysed (32 India, 18 global remote), collected 30 September 2026. Machine learning in every posting, Python in 88%, deep learning in 68% and LLMs in 62%. Source

What employers actually want

We read 50 AI/ML Engineer and Machine Learning Engineer job descriptions posted between July and September 2026: 32 in India and 18 global remote roles.

  • Machine learning and Python are the entry ticket. Machine learning appears in every posting and Python in 88%.

  • Deep learning is a Must-have. 68% name deep learning, 72% PyTorch and 64% TensorFlow.

  • LLM work is now standard. LLMs and generative AI appear in 62% of postings, NLP in 48%, retrieval-augmented generation and AI agents in 30% each, fine-tuning in 28% and LLM evaluation in 20%.

  • Production matters as much as modelling. MLOps appears in 58% of postings; Docker in 36%, Kubernetes and CI/CD in 32% each, monitoring in 24%.

  • Data skills are still expected. Statistics in 42%, Spark in 40%, SQL and data pipelines in 36% each.

  • Cloud is common. AWS in 40%, Azure 32% and Google Cloud 28%.

  • People skills show up too. Stakeholder management in 44% and communication in 36%, rising to 46% of mid and senior postings.

Method, full frequency tables and every job link are in the research file linked from this page.