[ engineering ]
Ml Ops Engineer, Chanakya
Sarvam AI- Location
- Not specified
- Work mode
- On-site
- Type
- full time
- Listed
Applications go directly to Sarvam AI. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
ML Ops Engineer at Sarvam responsible for the end-to-end model lifecycle in strategic sector deployments. This includes designing and operating serving infrastructure, building CI/CD pipelines for model updates, monitoring production model performance, and managing containerized deployments in various environments.
Skills and focus areas
- ml ops
- model serving
- ci/cd
- model monitoring
- containerization
- incident response
- on-prem deployment
- cloud deployment
- air-gapped environments
- edge environments
- evaluation pipelines
- runbook creation
Summary written by Ramai from the original posting. Full details and requirements are on Sarvam AI’s careers page.
[ More at Sarvam AI ]
See all 30 open roles at Sarvam AI →[ Similar roles at other startups ]
- Tech LeadSalaryBox
- Senior Software EngineerOneSchema
- Software EngineerQuill
- Founding EngineerAspect
- Founding Gtm Engineer · Ex-founders Only (remote)Dot
- Senior Site Reliability Engineer (systems Engineer Iii)Ophelia
[ Not quite right? ]
Tell the assistant what you’re after — stage, location, stack, visa sponsorship — and it searches every open role for you. A few questions are free, no account needed.