From Rs 5 LPA to Rs 45 LPA: How AI and ML salaries in India will rise by 2026

AI and ML Jobs


India’s artificial intelligence and machine learning (AI/ML) sector is on a strong growth trajectory heading into 2026, with salary forecasts pointing to some of the most attractive compensation packages in the country’s technology job market. From new graduates to seasoned specialists, the demand for AI and ML skills is reshaping pay structures, career paths, and even the places professionals choose to work.

According to industry analysis by TestLeaf, India’s AI/ML market is growing at over 40% year-over-year, and its ecosystem is expected to support over 1 million job roles by 2026. This rapid expansion will directly translate into higher salaries, which are expected to increase by 15-20% annually.

For professionals who stay on course and continually improve their skills, the rewards can be dramatic. Career earnings can rise from around 700,000 Rupees per annum (LPA) at entry level to over 30 LPA within five years, often further enhanced by performance bonuses and stock options.

A system in which salary increases according to experience

Compensation in AI/ML varies widely depending on experience and role.

Beginners (0-2 years) can expect a starting package of LPA 5 to 9 rupees. Typically, AI engineers earn between Rs 6 to 9 LPA while ML engineers earn in the range of Rs 5 to 8 LPA. Common roles include AI/ML Associate and Junior Engineer. Fundamental skills and a commitment to projects are paramount in these positions.

Salaries for mid-level professionals (3rd to 6th year) have increased significantly, with salaries ranging from LPA 10 to 20 LPA. AI engineers at this stage often earn an LPA of 12 to 20 rupees, while ML engineers earn an LPA of 10 to 18 rupees. Roles such as ML developers, AI engineers, and data scientists occupy this tier.

Senior professionals (7+ years) have the highest premiums. Salaries can reach 20-45 LPA+, with AI engineers earning 25-45 LPA+ and ML engineers earning 20-40 LPA+. Leadership and specialist roles such as lead AI engineer, MLOps architect, and AI consultant are common here. Those taking advantage of global remote opportunities may even receive an LPA of Rs 60-80, which is comparable to that in India.

Geography still matters

Location continues to play a large role in determining salary levels. Bengaluru remains the highest-paying hub, with mid-to-senior AI/ML professionals earning between LPA 15 and 40 rupees. Delhi-NCR follows closely behind, with average LPA salaries ranging from Rs 10 to Rs 28, while other tech clusters are slightly behind.

Several factors can cause your compensation to be significantly above average.

  • Skill premium: Proficiency in Python, TensorFlow, PyTorch, and LangChain can add 20-30% to your payout. Generative AI and Large-Scale Language Models (LLM) expertise earns up to a 35% premium, and MLOps skills can boost your salary by an additional 20%.
  • Industries to focus on: Fintech and healthcare jobs often pay up to 1.5 times more than traditional IT services jobs.
  • Company type: Multinational companies typically offer structured bonuses and stability, while startups attract talent with aggressive ESOPs.
  • Skill up edge: Specialized skills like certifications, a strong project portfolio, and AI-driven testing can lead to significant salary increases.



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