Top Companies Hiring Machine Learning Engineers in Delhi NCR

Machine Learning Engineer compensation in India varies by city, company stage, and whether the role is product, platform, or growth-focused. Fixed pay is quoted in LPA (lakhs per annum); variable pay and ESOPs are common at startups. Always clarify fixed vs CTC before negotiating.

Bangalore / Hyderabad: Highest volume of tech roles; senior Machine Learning Engineer bands at top of range.
Mumbai / Delhi NCR: Strong fintech and consumer; premiums for leadership roles.
Pune / Chennai: GCC and enterprise SaaS; competitive base, lower equity upside.
Delhi NCR: Factor in cost of living vs Bangalore when comparing offers.

1. Anchor with data from 3+ offers or trusted peers at the same level.
2. Negotiate fixed first; treat variable and ESOP separately.
3. Ask for signing bonus if base is capped.
4. Get the offer letter with break-up (basic, HRA, PF) before resigning.
5. If competing offers exist, share timelines, not numbers, to accelerate decisions.

CTC typically includes: Basic, HRA, special allowance, PF employer contribution, gratuity provision, and projected variable. Ask for in-hand estimate after tax. ESOPs at startups may not appear in CTC, model dilution and vesting cliff separately.

Delhi NCR has 50 active Machine Learning Engineer openings as of July 2026, according to knok jobradar data. That places it second in India after Bangalore (165 openings), and ahead of Hyderabad (27), Mumbai (15), Pune (14), and Chennai (14). The NCR ML job market is shaped by three forces: a strong GCC presence from global multinationals running India innovation centres, a growing set of AI-native product companies, and established analytics firms embedding ML teams into client delivery. This blend means the kinds of roles on offer vary significantly. Some are research-adjacent (building models from scratch), others are applied engineering (deploying and maintaining ML systems at scale), and some sit closer to data science with a production tilt. Understanding which type a company hires for helps you tailor both your resume and your interview prep.

Deutsche Telekom Digital Labs leads the list by a wide margin with 18 open roles, making it the single biggest ML employer in Delhi NCR right now. The remaining openings are spread across AI product companies, GCCs, analytics firms, and homegrown startups.

The company-type mix matters when you decide where to apply. GCCs like Deutsche Telekom Digital Labs and Bupa offer structured compensation bands, exposure to global teams, and well-defined ML engineering roles. Product and AI-native companies like Level AI and Adobe build core ML systems, so they tend to go deeper on fundamentals in interviews. Analytics firms like EXL Service want applied skills tied directly to business KPIs. Startups like Wingify, Turing, and Stage offer smaller teams where one engineer can own the full pipeline from raw data to a deployed model.

This dataset does not include salary figures for Delhi NCR ML roles. For reference, Glassdoor and levels.fyi commonly cite ML Engineer compensation in Delhi NCR varying significantly by experience, company type, and specialisation. GCCs like Deutsche Telekom Digital Labs tend to offer structured pay bands that sit closer to MNC benchmarks. AI-native product companies and global firms like Adobe may include equity or variable components that push total compensation higher, as publicly reported on levels.fyi. Analytics and BPO firms like EXL Service typically align with IT services sector norms. If you are comparing cities, publicly reported data on levels.fyi suggests Bangalore roles in ML generally command a premium over Delhi NCR, though the gap varies by employer. Check Glassdoor reviews for individual companies to get a sense of what current employees report.

Match your resume to the company type, not just the job title. A GCC like Deutsche Telekom Digital Labs wants to see production-grade ML work, system design thinking, and cross-functional collaboration. An AI-native company like Level AI will look hard at your model development fundamentals and your ability to move fast. Adobe looks for ML applied to creative or document intelligence problems, so side projects in those domains carry weight.

Show deployed work, not just notebook experiments. Delhi NCR employers consistently ask about real-world deployment. Mention specific frameworks (PyTorch, TensorFlow, MLflow), cloud platforms (AWS SageMaker, Azure ML, GCP Vertex AI), and what happened after your model went to production. Even a personal project deployed as an API counts.

Highlight domain knowledge where it fits. Deutsche Telekom needs telecom-aware ML (network optimisation, churn prediction, anomaly detection). EXL Service works heavily in insurance and healthcare analytics. Bupa is squarely in health insurance. If your background touches any of these domains, say so explicitly in your resume summary.

Build a concise portfolio. A GitHub profile with two or three clean, documented projects is more effective than a long list of unfinished notebooks. Link to it in your resume header. Recruiters at startups like Wingify and Stage often look at this before shortlisting.

With 50 roles spread across very different company types, a targeted approach beats blasting the same resume everywhere. Group the employers into tiers based on your fit. Deutsche Telekom Digital Labs has the most openings, so it is worth applying to multiple roles within that company if your background covers different sub-domains like NLP, computer vision, or forecasting. Apply to GCCs and large product companies first if you want stability and a structured career path. Target AI-native companies and startups if you prefer fast iteration and broader ownership.

Timing matters. Delhi NCR hiring tends to pick up after August as Q3 budgets open. Roles at GCCs often go through an internal approval process, so applications placed early in a hiring cycle have a better shot before headcount freezes.

For direct outreach, find the hiring manager or ML team lead on LinkedIn and send a short note referencing a specific project or paper the team has published. Keep it to three sentences. GCC roles often have a recruiter layer, so connecting with an internal recruiter at Deutsche Telekom Digital Labs or Bupa directly can speed up your process.

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