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Sarvam AI

Posted 18 Apr · 40 open roles

ML Ops Engineer, Chanakya

DelhionsiteApply by 29 Oct 2026

Undisclosed
Salary
3–5 yrs
Experience
Full time
Job type

About the role

The MLOps Engineer owns the model lifecycle across all defence and strategic sector deployments — from serving infrastructure and monitoring to evaluation pipelines and environment management. You ensure the system is always on, always accurate, and always auditable.

You will work across both layers: supporting Strategic Deployment Engineers in the field, and owning the model deployment infrastructure for new products being built by the product engineering team. The standards here are uncompromising — a model failure is not a UX problem, it is an operational risk.

  • Design and operate model serving infrastructure across on-prem and cloud deployments

Full details and the application are on Sarvam AI's careers site.

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Sarvam AI

40 open roles

Company profile, reviews and salaries

What tech interviews usually cover

Common rounds for engineering roles. Every company runs its own process.

  1. Round 1

    Fundamentals

    Coding, data structures and problem solving, usually 45–60 minutes.

  2. Round 2

    Design and depth

    System or component design, plus the tools named in the posting.

  3. Round 3

    Team fit

    Past projects, how you work with others, and the offer conversation.

The Sarvam AI name and trademarks belong to Sarvam AI. This listing summarises Sarvam AI's public job posting on Sarvam AI careers, and applications go directly to Sarvam AI. Jobsearchers is an independent job platform and is not affiliated with or endorsed by Sarvam AI; always check the details on the original posting. Report a problem.

ML Ops Engineer, Chanakya at Sarvam AI, Delhi | Jobsearchers