[ engineering ]
Embedded Infrastructure 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 ]
Embedded Infrastructure Engineers design, build, and maintain data infrastructure for AI system deployments at client sites. They manage terabyte-scale datasets, including ingestion, storage, querying, and serving to AI reasoning engines, often in constrained environments without managed cloud services.
Skills and focus areas
- data infrastructure
- ai system deployment
- terabyte-scale datasets
- data ingestion
- data storage
- data querying
- ai reasoning engines
- persistent data stores
- structured records
- documents
- imagery
- audio
Summary written by Ramai from the original posting. Full details and requirements are on Sarvam AI’s careers page.
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