AI Salaries in India 2026: Complete Compensation Report
This report provides comprehensive salary data for AI and Machine Learning professionals in India, compiled from job postings, company disclosures, and community surveys across the AGI House network of 10,000+ AI professionals.
Executive Summary
| Experience | Entry (0-2 yrs) | Mid (3-5 yrs) | Senior (6-10 yrs) | Lead (10+ yrs) | |------------|-----------------|---------------|-------------------|----------------| | Data Scientist | ₹6-12 LPA | ₹15-28 LPA | ₹32-55 LPA | ₹50-80 LPA | | ML Engineer | ₹8-15 LPA | ₹18-35 LPA | ₹40-70 LPA | ₹65-120 LPA | | AI Researcher | ₹12-20 LPA | ₹25-45 LPA | ₹50-90 LPA | ₹80-150 LPA | | Data Engineer | ₹6-12 LPA | ₹14-25 LPA | ₹28-50 LPA | ₹45-75 LPA | | NLP Engineer | ₹8-14 LPA | ₹18-32 LPA | ₹38-65 LPA | ₹60-100 LPA |
Key Finding: AI salaries have increased 15-20% YoY in India, outpacing general tech salary growth of 8-10%.
Salary by Role
Machine Learning Engineer
ML Engineers build, deploy, and maintain production ML systems.
| Experience | Bangalore | Delhi-NCR | Hyderabad | Mumbai | Pune | |------------|-----------|-----------|-----------|--------|------| | 0-2 years | ₹10-18 LPA | ₹12-20 LPA | ₹8-14 LPA | ₹10-16 LPA | ₹8-14 LPA | | 3-5 years | ₹22-38 LPA | ₹25-42 LPA | ₹18-32 LPA | ₹20-35 LPA | ₹18-30 LPA | | 6-10 years | ₹45-75 LPA | ₹50-85 LPA | ₹38-60 LPA | ₹42-68 LPA | ₹35-58 LPA | | 10+ years | ₹70-130 LPA | ₹80-150 LPA | ₹55-100 LPA | ₹65-110 LPA | ₹52-90 LPA |
Hot Skills (2026):
- LLMOps and GenAI deployment
- Vector databases and RAG systems
- Kubernetes for ML workloads
- Real-time ML pipelines
Data Scientist
Data Scientists analyze data, build models, and generate business insights.
| Experience | Bangalore | Delhi-NCR | Hyderabad | Mumbai | Pune | |------------|-----------|-----------|-----------|--------|------| | 0-2 years | ₹8-14 LPA | ₹9-15 LPA | ₹6-11 LPA | ₹8-13 LPA | ₹6-11 LPA | | 3-5 years | ₹18-30 LPA | ₹20-35 LPA | ₹14-25 LPA | ₹16-28 LPA | ₹14-24 LPA | | 6-10 years | ₹35-58 LPA | ₹40-65 LPA | ₹28-48 LPA | ₹32-55 LPA | ₹28-46 LPA | | 10+ years | ₹55-90 LPA | ₹60-100 LPA | ₹45-75 LPA | ₹50-85 LPA | ₹42-70 LPA |
Hot Skills (2026):
- Causal inference
- A/B testing at scale
- Product analytics
- Statistical modeling
AI/ML Research Scientist
Research Scientists advance the field through novel research and publications.
| Experience | Bangalore | Delhi-NCR | Hyderabad | Mumbai | |------------|-----------|-----------|-----------|--------| | Post-PhD (0-2 yrs) | ₹18-30 LPA | ₹20-35 LPA | ₹15-25 LPA | ₹18-28 LPA | | 3-5 years | ₹32-55 LPA | ₹38-65 LPA | ₹28-48 LPA | ₹30-52 LPA | | Senior (6-10 yrs) | ₹60-100 LPA | ₹70-120 LPA | ₹50-85 LPA | ₹55-95 LPA | | Principal/Director | ₹100-180 LPA | ₹120-200 LPA | ₹85-150 LPA | ₹95-170 LPA |
Hot Research Areas:
- Large language models
- Multimodal AI
- Efficient ML
- AI safety and alignment
NLP/LLM Engineer
Specialists in natural language processing and large language models.
| Experience | Bangalore | Delhi-NCR | Hyderabad | |------------|-----------|-----------|-----------| | 0-2 years | ₹10-16 LPA | ₹12-18 LPA | ₹8-14 LPA | | 3-5 years | ₹22-38 LPA | ₹26-45 LPA | ₹18-32 LPA | | 6-10 years | ₹45-75 LPA | ₹52-90 LPA | ₹38-65 LPA | | 10+ years | ₹75-130 LPA | ₹90-160 LPA | ₹62-110 LPA |
Hot Skills (2026):
- LLM fine-tuning
- RAG architectures
- Prompt engineering
- Indian language NLP
Computer Vision Engineer
Specialists in image and video understanding.
| Experience | Bangalore | Delhi-NCR | Hyderabad | |------------|-----------|-----------|-----------| | 0-2 years | ₹9-15 LPA | ₹10-17 LPA | ₹7-12 LPA | | 3-5 years | ₹20-35 LPA | ₹24-40 LPA | ₹16-28 LPA | | 6-10 years | ₹40-68 LPA | ₹48-80 LPA | ₹34-58 LPA | | 10+ years | ₹68-120 LPA | ₹80-145 LPA | ₹55-100 LPA |
Hot Areas:
- Autonomous vehicles
- Medical imaging
- Video understanding
- Edge AI
Salary by Company Type
Big Tech (Google, Microsoft, Amazon, Meta)
| Level | Base Salary | Bonus | Stock | Total Comp | |-------|-------------|-------|-------|------------| | L3/SDE-1 | ₹25-35 LPA | 15% | ₹10-15 LPA | ₹38-55 LPA | | L4/SDE-2 | ₹38-55 LPA | 15% | ₹18-30 LPA | ₹60-95 LPA | | L5/Senior | ₹55-80 LPA | 20% | ₹30-50 LPA | ₹95-150 LPA | | L6/Staff | ₹80-120 LPA | 25% | ₹50-100 LPA | ₹150-250 LPA |
Perks: Excellent health insurance, food, learning budgets, immigration support
Indian Tech (Flipkart, Swiggy, Meesho, Razorpay)
| Level | Base Salary | Bonus | ESOPs | Total Comp | |-------|-------------|-------|-------|------------| | E1/Junior | ₹12-20 LPA | 10% | Variable | ₹15-25 LPA | | E2/Mid | ₹22-35 LPA | 15% | Variable | ₹28-45 LPA | | E3/Senior | ₹38-60 LPA | 20% | Variable | ₹50-85 LPA | | E4/Lead | ₹60-90 LPA | 25% | Variable | ₹85-130 LPA |
Note: ESOP value varies significantly by company stage
Well-Funded Startups (Series A-C)
| Level | Base Salary | ESOPs | |-------|-------------|-------| | Junior | ₹10-18 LPA | 0.02-0.05% | | Mid | ₹18-30 LPA | 0.05-0.15% | | Senior | ₹30-50 LPA | 0.1-0.3% | | Lead | ₹45-75 LPA | 0.2-0.5% |
Considerations: Higher risk, but ESOP upside can be significant
Early-Stage Startups (Seed - Series A)
| Level | Base Salary | ESOPs | |-------|-------------|-------| | Junior | ₹8-15 LPA | 0.1-0.25% | | Mid | ₹15-25 LPA | 0.2-0.5% | | Senior | ₹25-40 LPA | 0.3-1.0% | | Founding Engineer | ₹20-35 LPA | 1-3% |
Note: Lower base but highest equity potential
Consulting & Services (TCS, Infosys, Accenture)
| Level | Salary Range | |-------|--------------| | Analyst | ₹5-9 LPA | | Consultant | ₹10-18 LPA | | Senior Consultant | ₹18-30 LPA | | Manager | ₹30-50 LPA | | Director | ₹50-80 LPA |
Considerations: More stable, good for visa sponsorship, but lower growth
Salary by City
City Cost-Adjusted Comparison
| City | Avg AI Salary | Rent (1BHK) | Adjusted Value | |------|---------------|-------------|----------------| | Delhi-NCR | ₹22-28 LPA | ₹25-40K/mo | High | | Bangalore | ₹18-24 LPA | ₹28-45K/mo | Medium-High | | Hyderabad | ₹15-20 LPA | ₹15-28K/mo | High | | Mumbai | ₹18-24 LPA | ₹35-55K/mo | Medium | | Pune | ₹14-18 LPA | ₹15-25K/mo | High | | Chennai | ₹14-18 LPA | ₹15-25K/mo | High |
Best Value: Hyderabad and Pune offer excellent salary-to-cost ratios
Factors Affecting Salary
Experience Multipliers
| Years | Multiplier vs Entry | |-------|---------------------| | 0-2 | 1x (baseline) | | 3-5 | 1.8-2.2x | | 6-10 | 3-4x | | 10+ | 4-6x |
Skill Premiums
| Skill | Premium | |-------|---------| | LLM/GenAI experience | +25-40% | | MLOps/Production ML | +20-30% | | Research publications | +15-25% | | Domain expertise (healthcare, finance) | +15-25% | | Indian language NLP | +20-30% |
Education Impact
| Degree | Impact | |--------|--------| | PhD (top institution) | +40-60% | | PhD (other) | +20-35% | | Masters (top IIT/IISc) | +15-25% | | Masters (other) | +5-15% | | Bachelor's (top tier) | Baseline |
Negotiation Guide
What's Negotiable
- Base Salary: 10-20% movement typical
- Joining Bonus: Often available, especially for leaving unvested stock
- Stock/ESOPs: Sometimes negotiable at startups
- Title: Can affect future earning potential
- Work from home: Increasingly valued
Negotiation Tips
Do:
- Research market rates thoroughly
- Have competing offers when possible
- Negotiate after receiving written offer
- Consider total compensation, not just base
Don't:
- Accept first offer immediately
- Reveal current salary (illegal to ask in many cases)
- Negotiate before receiving offer
- Burn bridges over small differences
Typical Offer Improvements
| Starting Point | Realistic Improvement | |----------------|----------------------| | Entry-level | 5-10% | | Mid-level | 10-15% | | Senior | 15-25% | | With competing offer | 20-35% |
Compensation Trends 2026
Rising
- GenAI/LLM roles: +40% demand, +25% salaries
- MLOps/Platform: +30% demand
- AI Safety/Alignment: Emerging, premium pay
- Edge AI: Growing with IoT
Stable
- Traditional ML: Steady demand
- Computer Vision: Mature market
- Data Science: Large market, moderate growth
Decreasing
- Basic analytics: Commoditizing
- Traditional NLP: Replaced by LLMs
How We Collected This Data
This report is based on:
- Community surveys: 2,500+ responses from AGI House members
- Job posting analysis: 10,000+ postings from LinkedIn, Naukri, company sites
- Recruiter interviews: 50+ AI-specialized recruiters
- Company disclosures: Public salary data where available
- Offer letters: 500+ verified offers shared by community members
Methodology: Salaries are reported as annual packages including base, bonus, and annualized stock value. All figures in INR Lakhs Per Annum (LPA).
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This report is updated quarterly. Last updated: January 2026. For corrections or additions, reach out through your local AGI House community.