Pay by Role
India · Salary comparison

Machine Learning Engineer vs Network Engineer salary

In India, a machine learning engineer earns about 56% more than a network engineer $38,013 vs $24,400 per year.

Showing amounts in USD (USD default; source data is INR). FX as of Mon, 13 Jul 2026 00:02:31 +0000. Convert currencies

Pays more
Technology
Machine Learning Engineer
$38,013/yr
Monthly
$3,168
Hourly
$18
Range
$22,618$56,830
10-yr outlook
+40%
Technology
Network Engineer
$24,400/yr
Monthly
$2,034
Hourly
$12
Range
$16,494$34,062
10-yr outlook
+5%

Pay range, side by side

PercentileMachine Learning EngineerNetwork Engineer
Entry (10th)$22,618$16,494
25th$30,315$20,447
Median$38,013$24,400
75th$47,421$29,230
Senior (90th)$56,830$34,062

National India figures in INR. Individual pay varies with experience, employer, and location.

More Technology comparisons

Frequently asked questions

Does a machine learning engineer or network engineer earn more in India?
A machine learning engineer earns more, at about ₹36,30,000 per year vs ₹23,30,000 for a network engineer — roughly 56% (₹13,00,000) more.
What is the salary range for these roles in India?
A machine learning engineer typically earns ₹21,59,900–₹54,26,900, while a network engineer earns ₹15,75,100–₹32,52,700 per year.
How much do these jobs pay per month in India?
On a monthly basis before tax, a machine learning engineer averages about ₹3,02,500 and a network engineer about ₹1,94,200.
How do entry-level salaries compare?
At the 10th percentile in India, a machine learning engineer earns about ₹21,59,900 while a network engineer earns about ₹15,75,100 per year.
How do senior-level salaries compare?
At the 90th percentile in India, a machine learning engineer earns about ₹54,26,900 while a network engineer earns about ₹32,52,700 per year.
Are machine learning engineer and network engineer similar careers?
Both roles sit in the Technology category on Pay by Role, which is why we compare them head-to-head. Day-to-day work still differs — review each job page for skills and outlook.