Rezo
Senior Backend Engineer - Speech Platform
Skills
21 days ago
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Important information
Contract type:
Permanent
Location:
Noida, Uttar Pradesh, India
Work mode:
Onsite
Published on:
30 September 2026
What they need
Job Summary
About role: Youll be the engineering owner on the speech team, working alongside two ML engineers and building everything around the models - ingestion, training infrastructure, real-time serving, and the integration into our existing platform. This is a backend engineering role. You dont need to train models. You need to build the systems that make trained models useful in production.
Responsibilities
- Build the audio data pipeline: mine our call archive, transcode, resample, segment, deduplicate and quality-filter at scale
- Build and operate real-time inference services with hard latency targets, including streaming, cancellation and mid-utterance interruption
- Integrate speech services into our existing Java-based platform and telephony infrastructure
- Instrument the full latency budget end to end and find where the milliseconds go
- Stand up training infrastructure - GPU scheduling, checkpointing, experiment tracking, reproducibility
- Own compute cost and concurrency economics: how many simultaneous calls per GPU, and how to improve it
- Support on-premise deployment for clients who cant send data outside their network
Requirements
Must haves:
- 3-4 years building and operating production backend systems
- Strong Java - youve owned services in production, not just contributed to them
- Working Python - enough to build data pipelines and integrate with ML tooling
- Real-time or low-latency systems experience: streaming APIs, WebSocket or gRPC streaming, concurrency, backpressure
- Data pipelines at scale (Airflow, Dagster, Spark or equivalent)
- Docker and Kubernetes in production
- Cloud infrastructure (AWS/GCP/Azure)
- Comfortable debugging performance: profiling, latency percentiles, throughput under load
Nice to have / Qualifications
- Serving ML models in production (Triton, vLLM, TorchServe)
- Audio tooling - ffmpeg, sox, codecs, resampling
- Telephony - SIP, Asterisk/FreeSWITCH, media servers, narrowband codecs
- MLOps tooling: MLflow, Weights Biases, DVC
- GPU-aware infrastructure work
Job Type
Full time
Work Experience
4-5 years
Job Opening Name
Senior Backend Engineer - Speech Platform
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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