About role:

You'll 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 don't need to train models. You need to build the systems that make trained models helpful 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 can't send data outside their network

Requirements

Must haves:
3–4 years building and operating production backend systems
Solid Java — you've 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:
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

📌 Senior Backend Engineer Speech Platform Noida
🏢 Nameless
📍 Noida