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





- Robust 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

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📌 Senior Backend Engineer - Speech Platform (Noida)
🏢 Rezo
📍 Noida