MLOps Engineer
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What stands out
- Posted in the last 24 hours.
The gist
This role involves implementing MLOps solutions to streamline data science workflows. You'll design deployment and monitoring pipelines using cloud tools and Kubernetes. Ideal for someone with experience in ML automation and CI/CD pipelines.
What you would actually do
- Build and maintain deployment pipelines for machine learning models
- Use Kubernetes, Terraform, and cloud platforms to automate workflows
- Collaborate with data science teams to improve model monitoring and retraining
Skills mentioned
About this listing
- Found on
- First seen by InternDoor
- , within 60 minutes of being posted
- Last seen listed
- Application page
- careers.cognizant.com
InternDoor has recorded 62 engineering postings from Cognizant in India since Sept 2026. LinkedIn listings stay on InternDoor for at most 30 days after we first see them, so this one comes down by , or sooner if we find its application has closed. When it comes down, this address points to Cognizant’s page instead of a dead end.
How to apply
Entry-level roles in India often collect hundreds of applicants within a day, so applying early matters more than applying perfectly. A half-finished application sent on the first morning beats a polished one sent on the third.
This summary was written by InternDoor from the public posting, and is not the employer's own wording. The linked posting is the source of truth, so check it before you apply.
