Median salaries doubled for 11,444 engineers who doubled down on fundamentals as hiring evolved. A two-year, B2K Analytics–verified study of 12,851 Scaler programme completers underscores the divide. Bengaluru, Karnataka, India – Business Wire India
• 104% Median salary jump
• Rs. 20L Median post-program CTC (up from Rs. 8.7L)
• 89% Overall placement rate (11,444 of 12,851)
• Rs. 45L+ Top 25% avg. package
There is a version of the Indian tech job market that looks fine. Hiring is happening. Salaries are moving. Companies are adding headcount. Then there is the version that emerges when you look at who is getting hired, and it tells a very different story.
A third-party assessment by B2K Analytics, the same independent research firm that conducts placement assessments for leading IIMs and top Indian business and technology institutions - of 12,851 professionals who completed Scaler's Modern Software & AI Engineering and Data Science & ML (AI Specialisation) programmes over a two-year window from 2023 to 2025 finds one outcome repeated consistently: those who upskilled and rebuilt their technical fundamentals for an AI-native market more than doubled their median salaries, while the market reset what it expects from technical talent.
Median post-programme CTC rose from Rs. 8.7 lakh to Rs. 20 lakh - a 104% jump. The average climbed 147%, pulled upward by a top quartile that crossed Rs. 45 lakh. Of the 12,851 programme completers, 11,444 secured placements - an 89% rate. Hiring companies include Meta, Amazon, Google, Apple, Microsoft, Goldman Sachs, JP Morgan, Morgan Stanley, McKinsey, BCG, Razorpay, Swiggy, PhonePe, Flipkart, Adobe, Salesforce, and Atlassian.
The market has repriced what experience is worth, but only for those who relearned the fundamentals paired with applied AI depth. The World Economic Forum's Future of Jobs Report flagged AI and machine learning as the fastest-growing skill category globally. India's own tech sector is absorbing a quiet contradiction: companies that once hired generalist engineers in bulk now run shortlists that filter heavily for AI fluency, often before the first interview.
Here is the counterintuitive part: the professionals seeing the biggest gains are not those who knew the least. Many entered these programmes with three to seven years of experience and pre-programme salaries near 8 lakh median. The ceiling moved because the market repriced their experience once paired with applied AI depth - not because they were starting from zero.
Scaler Neovarsity learners saw the strongest outcomes, with average compensation rising 164% to Rs. 30 lakh.
"The bar for employability has moved. Companies want professionals who can work with AI systems, not just alongside them. These outcomes reflect that shift," said Abhimanyu Saxena, Co-founder, Scaler.
"Past experience alone is no longer enough. The fundamentals of being a software or data professional have changed, and the market is paying premiums to those who learn them for the new world in a more hands-on approach," said Amar Srivastava, CEO Online Business & Group CPO, Scaler.
As companies automate repetitive tasks and increasingly prioritise AI-ready talent, professionals are under growing pressure to continuously upskill to remain competitive. Reflecting this shift, the 2026 Human Progress Report by ETS found that 89 per cent of Indian professionals are actively building new skills to stay relevant in an AI-driven workplace. Against this backdrop, the assessment highlights the growing importance of structured AI upskilling in helping professionals adapt to changing market demands and unlock stronger career outcomes.
Programme-wise Outcomes
Programme
Avg. hike
Median hike
Top 25% Avg CTC
Modern Software & AI Engineering
147%
105%
Rs. 45.6L
Data Science & ML with AI Specialisation
149%
101%
Rs. 42.4L
Overall
147%
104%
Rs. 45.1L
Note: Salary transition analysis based on a sample of 2,517 learners. Placement rate denominator = programme completers (12,851), not total enrolments.
For more information on the Scaler report, visit: http://www.scaler.com/.
About Scaler
Launched in 2019, Scaler is India's leading tech education company, upskilling working professionals and educating aspiring engineering students. Scaler's industry-vetted curriculum addresses real-world challenges and the changing dynamics of the technology industry through three flagship programmes: Scaler Academy, Scaler DSML, and Scaler DevOps. Scaler believes in creating real-life impact by focusing on 'impact-driven' tech talent. Enrolled learners are mentored and taught by leaders and subject-matter experts working with leading organisations, including MAANG companies. Scaler has achieved enviable career outcomes in a short period, and on average, its learners see a 4.5x return on investment (ROI) and a salary hike of approximately 126%. To further redefine tech education, Scaler has launched Scaler Neovarsity, an online university offering an outcome focused Master's Programme accredited with ECTS. Additionally, Scaler has established the Scaler School of Business, a Postgraduate Program in Management and Technology, and the Scaler School of Technology, a four-year residential undergraduate program in Computer Science. Scaler Enterprise is its B2B arm, focusing on building relationships with domestic and global organisations to provide them with industry-ready talent. More than 1,000 companies have worked with Scaler for their tech recruitment needs. The startup's parent firm, InterviewBit, has been featured in the Financial Times' Asia-Pacific High Growth Companies rankings for 2021, 2022, 2023, 2024, and 2025. Scaler has also been featured in Time Magazine's 2024 ranking of the world's rising stars in the edtech industry. Valued at $710 million, Scaler is backed by marquee global investors like Peak XV Partners (formerly Sequoia Capital India), Tiger Global, and Lightrock India. It has expanded its footprint across India and the US.
For more information, please visit: http://www.scaler.com/
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Team at Scaler
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