Open 3 monthsWe first saw this posting 93 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
Status in our records
Live
First seen by us
Aug 12, 202693 days ago
Recorded sightings
346
Last seen by us
Nov 13, 2026
Employer says posted
Apr 1, 2026
Aug 12, 2026today
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 93
876
Up longer than most. Similar jobs usually come down between day 8 and day 76.
Well past EXL Service’s usual: its jobs come down by about day 21.
From 5,460 similar postings that came down, and 281 of EXL Service’s. Coming down is not always a hire.
EXL Service is hiring
211 open jobs
Open jobs by the week we first saw them, last 12 weeks.
About 65,000 in 2025, up 9% from the year before.Annual report (SEC Form 10-K)
Company
Listed as EXLS.
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.