AI or ML Engineer

This role involves developing and deploying machine learning models to improve health outcomes. The work includes building systems that process large datasets and applying deep learning techniques to enable computers to understand and respond to complex situations.

Summarised by InternDoor from Optum India’s posting, in our own words. The posting itself is the source of truth, so check it before you apply.

• Build and deploy machine learning models in production environments
• Work with large-scale data analysis systems and frameworks
• Apply deep learning to enable computer vision and natural language understanding

Required

• Undergraduate degree or equivalent experience

Read from Optum India’s posting. Its own wording is the one that counts.

1. Check what they ask for. Read the requirements above.
2. Tailor your resume to the role. Put the work that matches these skills first. InternDoor’s resume tailor does it against this posting.
3. Apply on Optum India’s careers site. The application is on careers.unitedhealthgroup.com, not on InternDoor. We never ask for a fee.

Apply soon: postings like this can close without notice, and this one states no deadline.

Posted

6 Nov 2026, on LinkedIn

First seen by InternDoor

6 Nov 2026, within 23 minutes of being posted

Last checked

6 Nov 2026: the posting was still taking applications.

Application deadline

Optum India has not stated one

Leaves InternDoor

By 6 Dec 2026, our 30-day limit for LinkedIn listings, or sooner if the application closes

Application page

careers.unitedhealthgroup.com

What we checked, and what the dates mean

The date this listing leaves InternDoor is our own rule, not a deadline set by Optum India. Postings can close earlier, at any time.

What “last checked” means: our checker read the posting itself and found it still open on that day.

InternDoor has recorded 6 engineering postings from Optum India since Oct 2026.

When this listing comes down, this address says the role has closed and lists open roles like it, instead of a dead end.

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