Salary Calculator
What is theAI/ML Engineersalary in India?
Salary range: ₹22 LPA to ₹80 LPA
AI/ML Engineer salaries in India range from ₹6 LPA at entry level to ₹80 LPA or more at senior levels in top-tier firms in 2026. Average pay rises from ₹10 LPA at entry to ₹52 LPA at 8 or more years. At senior levels, ESOPs and variable pay form a larger share of total earnings than base salary alone.
Quick salary snapshot
- Entry level: ₹6 to 10 LPA
- Mid-level (2-5 years): ₹22 to 40 LPA at product companies
- Senior (5-8 years): ₹40 to 65 LPA
- 8+ years: up to ₹80 LPA at FAANG, NVIDIA, and funded AI startups including ESOPs and bonuses
- Top-paying companies: Google, Microsoft, Meta, NVIDIA India, Walmart Global Tech, Razorpay, and PhonePe
What moves the number
- LLM fine-tuning, RAG, and LLMOps experience command 20 to 40% more than generalist ML profiles at equivalent experience. This is the single biggest skill premium in AI/ML right now
- FAANG and unicorn employers pay 2 to 3x more than IT services firms for identical years of AI/ML experience. This gap is consistent across all experience bands
- SaaS and product companies pay the highest premiums because ML models directly drive product growth and revenue, not just support operations. Fintech risk and fraud roles often match or exceed SaaS at the ₹40 LPA or more band
- IIT and IISc graduates start 15 to 25% higher, but that advantage narrows considerably after 3 years of strong portfolio work
- At funded startups, RSUs and ESOPs can equal 40 to 60% of cash comp. Early-stage equity is high-variance. Late-stage is more reliable
City
Bengaluru, Hyderabad, and Mumbai consistently pay above the national average. Remote roles for global employers pay to the hiring company's city band regardless of the engineer's location.
What Affects Pay
What influences anAI/ML Engineersalary
Six factors explain most of the variance inAI/ML Engineer in India. Mix matters more thanany single one.
Production ML Experience
Deploying and maintaining models at scale in live systems raises meaningful benchmarks across all company tiers and experience levels.
Company Tier
FAANG-equivalent and unicorn employers pay 2-3x more than traditional IT services firms for identical years of AI/ML experience.
Location Tier
Bangalore, Hyderabad, and Mumbai consistently pay above the national average.
Specialisation in Gen AI and LLMs
Engineers with hands-on LLM fine-tuning, RAG, or LLMOps experience command a 20-40% salary premium over generalist ML engineers in 2026.
Educational Background
IIT and IISc graduates retain a 15-25% starting salary advantage. That gap narrows considerably after three years of strong portfolio work.
Equity component
At funded startups, RSUs and ESOPs can equal 40–60% of cash comp. Early-stage equity is high-variance; late-stage is more reliable.
Frequently Asked Questions
The average AI/ML Engineer salary in India across all experience levels and company types is approximately ₹12-16 LPA. At product companies and mid-to-senior levels, the range rises to ₹22-40 LPA.
Top AI/ML Engineers at FAANG, NVIDIA, or funded AI startups earn between 65-80+ LPA, including ESOPs and bonuses.
Entry-level AI/ML Engineers at IT services or small firms typically start at 6-8 LPA
Google, Microsoft, Meta, NVIDIA India, Walmart Global Tech, and funded unicorns like Razorpay and PhonePe pay the highest.
An AI/ML Engineer builds and deploys machine learning models, integrates them into products, and maintains ML pipelines at scale.

