Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full\-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
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 acquisition** — Automating content download, format handling, and audio extraction with robust failsafe logic
- **Speaker diarization** — Running and validating models that determine “who spoke when” in multi\-speaker audio
- **Emotion \& style tagging** — Classifying speech segments by emotion and speaking style to produce training data for expressive TTS models
This is hands\-on pipeline engineering — you’ll write Python scripts that call ML models, process audio files, handle messy real\-world data, and produce clean, structured outputs that downstream models consume.
- Build and maintain audio/video processing scripts using tools like FFmpeg, yt\-dlp, and Python audio libraries
- Run ML model inference (diarization, emotion recognition) on audio data and validate outputs
- Handle edge cases: failed downloads, format mismatches, model errors, rate limits, and scale constraints
- Process and structure outputs (RTTM files, JSON annotations, CSVs) for use in model training
- Think about reliability, idempotency, and logging so pipelines can run unattended on thousands of files
- *What We're Looking For**
- Comfort with Python scripting — loops, file I/O, subprocess calls, basic error handling
- Willingness to learn audio concepts: sample rates, WAV/MP3 formats, mono/stereo
- Ability to read documentation and get unfamiliar libraries/models working
- Problem\-solving instinct — when something breaks, you debug rather than give up
- Familiarity with using AI coding tools (ChatGPT, Copilot, Claude) to accelerate your work
- Experience with any audio/ML library (librosa, torchaudio, soundfile, HuggingFace transformers)
- Familiarity with FFmpeg or command\-line media tools
- Exposure to ML model inference (loading a model, running predictions)
- Basic understanding of speech/NLP concepts (ASR, TTS, diarization)
Sarvam is a fast\-moving, high talent\-density team building full\-stack AI for India, working on problems that push the frontiers of AI with real population\-scale impact.
- Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
- High ownership and high impact, from day one
- Everything we do is AI\-first, from the way we build and ship to the way we think about problems
- You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.