1+ hour, 22+ min ago  (141+ words) The architecture decisions you make will be inherited by every deployment that follows. You will ship real systems, not prototypes " and you will be accountable for how they behave in the field. Note: We are looking for people who can…...

1+ day, 17+ hour ago  (801+ words) We're looking for an FDE to work directly with enterprise clients integrating our platform into their business workflows. You will be embedded with clients - understanding their operational processes, configuring the platform for their needs, debugging issues end-to-end, and ensuring they…...

5+ day, 6+ hour ago  (367+ words) This is where the model meets the messy real world, and you will be right in the middle of it. This is a full-stack role, which means you own features end to end - Build product features across the whole stack:…...

3+ week, 2+ day ago  (476+ words) Voice, transcription, and translation in 22+ Indian languages. Fully local. No cloud, no latency, no cost per query. Saaras + Mayura + Bulbul Models, silicon optimisation, and deployment in one place. No separate vendor for each layer. ASR, translation, and synthesis. One stack,…...

1+ mon, 5+ day ago  (395+ words) You'll work on the data and ML infrastructure that powers Sarvam's dubbing pipeline " building systems that acquire, process, and annotate speech data at scale. Depending on your interest and strengths, your work will span one or more of: Audio/Video…...

1+ mon, 1+ week ago  (521+ words) The work cuts across multiple codebases: a core ML pipeline library (ASR, translation, TTS, audio processing), production services for dubbing and live translation, and a shared platform SDK that provides common capabilities to every Studio service....

1+ mon, 1+ week ago  (429+ words) Build and optimise the real-time speech-to-speech translation pipeline " streaming ASR with server-side VAD, low-latency translation, and TTS synthesis delivered as live audio streams Implement voice cloning in streaming and batch contexts " reference audio selection heuristics, handling short vs. long utterances,…...

1+ mon, 1+ week ago  (496+ words) We're looking for an FDSE to work directly with enterprise clients integrating Sarvam's AI Dubbing Platform into their content workflows. You will be embedded with clients " understanding their content pipelines, configuring the dubbing platform for their needs, debugging issues end-to-end,…...

1+ mon, 1+ week ago  (407+ words) We're looking for a Senior FDSE to lead complex, high-touch enterprise deployments of Sarvam's AI Dubbing Platform. You will be the senior technical partner to media companies, OTT platforms, content studios, and enterprise localization teams " owning everything from integration architecture…...

1+ mon, 1+ week ago  (410+ words) As a Senior Talent Partner at Sarvam AI, you aren't just "filling roles"you are building the foundational team for India's sovereign AI stack. We are looking for a strategic recruiter who thrives in the high-stakes world of Deep Tech…...