Quick answer: MLOps Engineer at Sarvam AI, Bengaluru (3–5 yrs exp). Manage model lifecycle, Kubernetes, deployment infrastructure. Direct apply via careers portal. Permanent role, on-site.
AIshala-vetted free courses sequenced for this role. Total prep time: {context.jobs.prep_time_weeks} weeks.
Start with our free AI courses filtered to MLOps Engineer roles. The full ranked ladder is on the role explainer.
Pair theory with 1-2 portfolio projects relevant to private-startup roles. AIshala City Chapters can review your work.
Once ready, use the Apply button at the top to go to Sarvam AI's official application. Bring your portfolio + the courses you completed.
Click Apply on Sarvam AI at the top of this page to go to the employer's official application form. AIshala does not collect applications — we link you directly to the source.
Yes — we verify every listing and remove closed positions. The deadline (when set) is shown in the badge at the top. If you spot a stale listing, flag it via Contact and we'll review within 24 hours.
Browse the course ladder section above — these are AIshala-vetted free courses sequenced for this specific role's skills. Estimated total prep time is shown next to each step.
We don't directly mentor applicants, but our City Chapters have ambassadors and peer groups who do informal application reviews. Find your nearest chapter on the Chapters page.