Responsibilities
- Lead end-to-end integration of Sarvam’s dubbing platform into enterprise content workflows (OTT, media houses, ed-tech, enterprise L&D)
- Own the technical relationship with strategic accounts — scoping requirements, designing integration architecture, and ensuring production readiness
- Debug and resolve complex pipeline issues across the full dubbing stack: audio separation, ASR, translation, TTS, and video stitching
- Tune pipeline parameters (VAD thresholds, translation glossaries, TTS voice profiles, audio mixing) for client-specific content types
- Drive presales engagements — leading technical discovery, scoping POC deployments, and presenting to content/engineering leadership
- Build and maintain integration playbooks, API guides, and troubleshooting runbooks for the dubbing platform
- Define SLA governance across enterprise accounts — setting expectations for turnaround time, quality benchmarks, and escalation resolution
- Act as the primary technical liaison between enterprise clients and Sarvam’s dubbing product and ML engineering teams
- Mentor and provide technical guidance to FDSE engineers in the field
- Contribute fixes and improvements back to internal platform codebases when client deployments surface bugs or gaps
Requirements
- 5–8 years of experience in field engineering, solutions engineering, technical account management, or senior client-facing engineering roles
- Strong Python proficiency — ability to read, debug, and contribute to production FastAPI services and ML pipelines (non-negotiable)
- Experience with audio/video processing workflows: FFmpeg, codec pipelines, media formats, or streaming infrastructure (non-negotiable)
- Proven track record working with enterprise media, OTT, or content localization clients
- Comfort operating across the stack: REST APIs, async job queues (Celery/Redis or similar), PostgreSQL, cloud storage (Azure/GCP/AWS), Kubernetes
- Strong debugging instincts — ability to trace failures across distributed systems (API → queue → worker → ML inference → storage)
- Experience owning SLA management and escalation governance across multiple enterprise accounts
- Excellent communication skills — comfortable engaging CXO/VP-level stakeholders at media companies
Nice to Have
- Prior experience with speech/NLP systems: ASR, TTS, machine translation, or audio ML
- Familiarity with Indic languages and the nuances of multilingual content (code-mixing, transliteration, regional dialects)
- Experience with ML serving infrastructure: Triton, ONNX Runtime, or similar model-serving frameworks
- Background in media localization, subtitling, or dubbing workflows (even manual/traditional)
- Experience with WebSocket-based real-time systems or event-driven architectures
- Contributions to open-source audio/video/NLP tools
Benefits
- 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
