Machine Learning Engineer Salary in Delhi NCR (2026)
Machine Learning Engineer salary in Delhi NCR for 2026 - real pay bands by experience level, what companies actually offer, how to negotiate, and live opening
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Most Machine Learning Engineer job listings in Delhi NCR do not disclose a salary range. Recruiters expect negotiation, and posting pay upfront is still uncommon outside of multinational product companies. knok jobradar found 50 active ML Engineer openings in Delhi NCR as of July 2026, and the majority showed no salary figure at all.
Because the listing data lacks salary bands, the figures in this guide come from publicly reported sources: Glassdoor, levels.fyi, and industry surveys covering the Indian tech market. Treat these as directional ranges rather than guarantees. The actual number in your offer letter depends on company size, funding stage, and how closely your profile matches what they need.
Machine Learning Engineering is one of the better-paying technical disciplines in India right now. Publicly reported compensation across levels on Glassdoor and levels.fyi suggests Delhi NCR ML Engineers earn somewhat less than Bangalore peers on average, but the gap has been narrowing as product companies and global capability centres expand their Delhi NCR footprints.
By Experience Level
The salary_bands data is not available for this city and role combination in the current dataset, so the ranges below come from publicly reported figures and industry surveys. Treat them as a starting point for your own research, not a promise.
Entry level (under 2 years of experience): Publicly reported salaries on Glassdoor for junior ML Engineers in Delhi NCR are commonly cited in the 8-14 LPA range. Roles at funded startups sometimes go higher to attract talent away from Bangalore.
Mid level (3-6 years): Industry surveys and Glassdoor data commonly cite mid-level ML Engineers in Delhi NCR at 18-30 LPA. Specialists in NLP, computer vision, or MLOps tend to sit at the higher end of that range. Global capability centres of large multinationals often offer structured pay bands here.
Senior level (7 or more years): Publicly reported figures on levels.fyi for senior and staff ML Engineers place total cash at 35-60 LPA at product companies in Delhi NCR. Leadership roles with people management responsibility can go higher, though sample sizes for this bracket are small and numbers should be verified directly.
The spread within each band is wide. Two candidates with the same years of experience but different portfolio depth or niche specialisations can receive offers that differ considerably, as commonly cited in industry salary surveys.
By City
Knowing where the jobs are concentrated helps you decide whether to negotiate a remote arrangement or consider relocation. The numbers below come from knok jobradar data as of July 2026.
| City | Active ML Engineer Openings |
|---|---|
| Bangalore | 165 |
| Delhi NCR | 50 |
| Hyderabad | 27 |
| Mumbai | 15 |
| Pune | 14 |
| Chennai | 14 |
Bangalore dominates with 165 openings, more than three times Delhi NCR's count of 50. This matters for salary because Bangalore product companies often benchmark pay against global hiring pools, which pushes up total compensation packages. Publicly reported figures on Glassdoor and levels.fyi show Bangalore ML Engineer salaries commonly cited at a premium over Delhi NCR for equivalent roles.
Hyderabad is growing fast as a second hub, with 27 openings driven by large tech campuses. Mumbai, Pune, and Chennai are smaller markets for this role. If you are based in Delhi NCR and your employer allows remote work, applying to Bangalore-listed roles and negotiating a Delhi-equivalent package is a tactic that industry surveys suggest is increasingly common at mid-to-senior levels.
Negotiation Tips
Do your homework before the call. Look up the company on Glassdoor and levels.fyi before any salary conversation. Publicly reported figures give you a credible anchor. Walk in knowing the range that is commonly cited for your level at that company type.
Let them go first. If a recruiter asks for your salary expectation early, it is fine to say you would like to understand the full scope of the role first. This keeps you from anchoring too low before you know what they are willing to offer.
Negotiate the full package, not just base. Variable pay, joining bonus, and stock options are all negotiable. Variable components may not always pay out at the full stated amount depending on company performance, so factor that in when comparing offers.
Do not accept on the spot. Ask for a day or two to review the offer in writing. This is standard practice and no reasonable employer will withdraw an offer because you asked for time to think.
Counter with a specific number, not a vague 'more'. If you want more, say the number you want and why: market data, a competing offer, or a skill premium. Vague counters give the recruiter nothing to work with.
Watch for components that look good but are uncertain. A large variable or ESOPs in an early-stage startup may look attractive but carry real uncertainty. Publicly reported advice from industry surveys consistently suggests weighting guaranteed cash more heavily when evaluating startup offers.
Total Comp Breakdown
A Machine Learning Engineer offer in Delhi NCR typically has several components beyond the base salary. Understanding each one helps you compare offers that look similar on the surface.
Fixed base salary is the guaranteed monthly amount. This is what you should anchor your comparison on, since it does not depend on company performance or vesting schedules.
Variable pay (performance bonus) is usually expressed as a percentage of base. Industry surveys commonly cite variable components for tech roles at 10-20% of base annually, though this varies widely by company type. At startups, variable pay may be tied to company revenue targets you cannot easily verify.
Joining bonus is a one-time payment, sometimes used to compensate for a bonus you are leaving behind at your current employer. These are often subject to a clawback clause if you leave within a set period, so read the terms carefully.
ESOPs or RSUs are stock-based components. At listed companies, Glassdoor and levels.fyi report these as a meaningful portion of senior-level total compensation. At unlisted startups, the value is speculative until there is a liquidity event. Industry surveys suggest treating startup equity as upside rather than as a core component of your expected pay.
Benefits such as health insurance, meal allowances, and internet reimbursements add real value but are harder to compare directly. Ask for the insurance sum insured and whether it covers dependants.
When you add up all these components, the 'CTC' figure in the offer letter can look much larger than the cash you actually receive each month. Focus on take-home cash first, then value the rest.
Salary figures combine disclosed CTC from knok's indexed postings with level benchmarks for the India market. We quote fixed LPA unless noted; variable and ESOP are called out separately. Updated 2026-08-03. Not individual financial advice.
- Indexed job postings with disclosed CTC
- Level benchmarks (IC vs lead) for India tech
Frequently asked
Why do so few Delhi NCR ML Engineer job listings show a salary range?
Pay transparency is not legally required for private sector employers in India. Most companies prefer to assess candidates first and negotiate salary individually, which gives them flexibility to pay different amounts to different people for the same role. This is frustrating for job seekers but it is the current reality. Using publicly reported data from Glassdoor and levels.fyi before applying helps you walk into conversations with a realistic anchor.
Is Delhi NCR a good market for Machine Learning Engineers compared to Bangalore?
Bangalore has 165 active ML Engineer openings versus 50 in Delhi NCR, so the volume of opportunities is significantly higher there. That said, Delhi NCR is growing, particularly around Gurugram and Noida, where global capability centres and funded startups are hiring actively. If you are open to remote or hybrid roles, applying to Bangalore-listed positions while staying in Delhi NCR is something many mid-to-senior professionals do successfully.
How much can I expect my salary to grow as I move from entry to senior level?
Publicly reported figures and industry surveys suggest the jump from entry to mid level is significant in Machine Learning Engineering, often doubling or more over several years as you build specialisation in areas like NLP, MLOps, or computer vision. Senior and staff-level roles at product companies show the largest absolute increases, though sample sizes for that bracket in Delhi NCR are small. Your actual trajectory will depend heavily on the company you join and whether you build a visible portfolio of work.
What specialisations command the highest pay for ML Engineers in India?
Industry surveys and publicly reported data from levels.fyi consistently show that roles requiring deep expertise in generative AI, large language model fine-tuning, and MLOps infrastructure command a premium over generalist ML roles. Computer vision for safety-critical applications and recommendation systems at scale are also commonly cited as high-value specialisations. Building a public portfolio through research papers, open-source contributions, or competitive ML rankings in one of these areas tends to strengthen salary negotiations considerably.
Should I share my current salary during negotiations?
You are not legally required to disclose your current salary to a prospective employer. Many career advisors and industry surveys recommend declining politely and redirecting to market rates instead. Sharing your current salary can anchor the recruiter's offer to your past package rather than to the market value of the new role. It is safer to say you are targeting a certain range based on publicly reported market data.
How does knok help me find and apply to ML Engineer roles in Delhi NCR?
knok checks 150+ job sites every night, finds Machine Learning Engineer roles that match your resume, and messages HR on your behalf so you do not have to track and apply manually. At roughly ₹2,500 a month, it is designed for job seekers who want consistent outreach without spending hours on job boards every day. You set your preferences once and knok runs the search for you.
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