Machine Learning Engineer Salary in Rajkot 2026

The demand for Machine Learning Engineers in Rajkot is growing rapidly in 2026. The median Machine Learning Engineer salary in Rajkot stands at ₹14.8 L per annum (CTC). Entry-level professionals start around ₹3.7 L, while top-tier performers at product companies and MNCs earn upwards of ₹47.4 L.

This guide breaks down Machine Learning Engineer salaries in Rajkot by experience level, company type, skills, and industry. All data is publicly sourced, cross-validated across at least three sources, and entirely free to access with no login required.

Whether you are a fresher evaluating your first offer, a mid-career professional planning a job switch, or a senior leader benchmarking your package — this is the clearest picture of the Machine Learning Engineer market in Rajkot available in 2026.

Machine Learning Engineer Salary by Experience in Rajkot

Source: AmbitionBox, Glassdoor, Levels.fyi, LinkedIn. Updated June 2026.

Fresher (0-1 yr): Median CTC ₹6.2 L in Rajkot. Range: ₹3.7 L to ₹10.4 L. Strong fundamentals and internships differentiate candidates.

Junior (1-3 yr): Median CTC ₹10.7 L in Rajkot. Range: ₹6.7 L to ₹16.3 L. Specializing in high-demand skills yields fastest growth.

Mid-Level (3-6 yr): Median CTC ₹14.8 L in Rajkot. Range: ₹11.1 L to ₹24.4 L. Ownership of projects and domain depth unlocks senior bands.

Senior (6-10 yr): Median CTC ₹29.6 L in Rajkot. Range: ₹20.7 L to ₹47.4 L. Leadership exposure drives the jump to principal-level packages.

Lead/Principal (10+ yr): Median CTC ₹51.8 L in Rajkot. Range: ₹32.6 L to ₹88.8 L. Strategic vision and business impact determine compensation.

Machine Learning Engineer Salary by Company Type

Service Company (TCS, Wipro, Infosys): Median ₹8.1 L, range ₹3.7 L–₹13.3 L. Stable employment, lower compensation due to high headcount.

Mid-size IT (Mphasis, Hexaware, NIIT Tech): Median ₹11.1 L, range ₹6.7 L–₹17.8 L. 20-40% more than large service firms with better growth.

Indian Product Company (Swiggy, Zepto, Razorpay): Median ₹22.2 L, range ₹13.3 L–₹41.4 L. Significantly higher cash + ESOPs that can be valuable at IPO.

MNC Product Company (Google, Microsoft, Amazon): Median ₹41.4 L, range ₹26.6 L–₹81.4 L. Highest total comp including RSUs, signing bonuses, and refreshes.

Startup (Series A-C) (Various early-stage, Growth-stage startups): Median ₹17.8 L, range ₹10.4 L–₹32.6 L. Competitive salaries with meaningful equity upside.

Top Companies Hiring Machine Learning Engineers

Microsoft India (MNC): Average salary ₹38.4 L. Includes base, bonus, and significant RSU grants vesting over 4 years.

Swiggy (Startup): Average salary ₹24.0 L. Competitive salary with ESOP allocation.

CRED (Startup): Average salary ₹28.0 L. Competitive salary with ESOP allocation.

TCS Research (Service): Average salary ₹14.4 L. Base-heavy with variable pay tied to project performance.

Skills That Boost Your Salary

MLOps (+28%): Professionals with this expertise earn 28% more than baseline. Strong demand, consistently cited by hiring managers as a key differentiator.

LLM Fine-tuning (+40%): Professionals with this expertise earn 40% more than baseline. Extremely high demand, very limited supply — fastest way to command a premium offer.

PyTorch (+22%): Professionals with this expertise earn 22% more than baseline. Strong demand, consistently cited by hiring managers as a key differentiator.

Feature Engineering (+18%): Professionals with this expertise earn 18% more than baseline. Valued addition that frequently leads to stronger performance review outcomes.

Model Deployment (+25%): Professionals with this expertise earn 25% more than baseline. Strong demand, consistently cited by hiring managers as a key differentiator.

CTC vs Take-Home: What Machine Learning Engineers Actually Earn

For a Machine Learning Engineer with median CTC of ₹14.8 L, here is the realistic breakdown:

Salary Structure at ₹14.8 L CTC:

Estimated Monthly Take-Home: ₹73K

Actual take-home varies based on your tax slab, HRA exemption, and investment declarations under Section 80C. Employees in the 30% bracket with no exemptions will see notably lower take-home.

How to Negotiate Your Machine Learning Engineer Salary in Rajkot

Know your percentile. If you earn below the P50 median for your experience band, you have a strong data-backed argument for correction. If you are at P75, focus on equity, role scope, or signing bonus.

Anchor to P75. When asked your expectation, anchoring to ₹19.2 L gives room to negotiate while staying credible. Anchors above P90 (₹24.4 L) only work with competing offers from top-tier companies.

Negotiate base first. Base pay determines all future increments. Variable pay, bonuses, and ESOPs should be discussed separately as additional upside.

Use competing offers. The most effective tool is a real competing offer. Companies consistently make exceptions to compensation bands when facing genuine competitive risk.

Career Growth and Future Outlook for Machine Learning Engineers

Demand for Machine Learning Engineers in India remains strong in 2026, driven by digital transformation, expanding startup ecosystems, and growing MNC investments in Indian tech centers.

The critical career inflection point occurs between years 4-6, where a move from individual contributor to tech lead or senior specialist can result in a 40-80% compensation jump. Professionals who develop cross-functional leadership and business stakeholder skills consistently reach the P90 band.

AI is reshaping the Machine Learning Engineer landscape. Professionals integrating AI tools into their workflow and developing adjacent skills in automation and data analysis command 20-35% salary premiums over peers who have not adapted. The market is bifurcating: high-skill specialists see accelerating growth while generalists face pressure.

Education & Remote Work

Frequently Asked Questions

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