Lead the end-to-end technical development of speech models (ASR, TTS, Speech-LLM) — from architecture, training strategy, and evaluation to production deployment.
Act as an individual contributor and mentor, guiding a small team working on model training, synthetic data generation, active learning, and inference optimization for healthcare applications.
Own the technical roadmap for STT/TTS/Speech LLM model training: from model selection → fine-tuning → deployment.
Evaluate and benchmark open-source models using internal test sets for WER, latency, and entity accuracy.
Design and review data pipelines for synthetic and real data generation.
Architect and optimize training recipes and lead integration with Triton Inference Server.
Implement Language Model biasing APIs and guide evaluation cycles.
Requirements
M.S. / Ph.D. in Computer Science, Speech Processing, or related field.
7–10 years of experience in applied ML, at least 3 in speech or multimodal AI.
Track record of shipping production ASR/TTS models or inference systems at scale.
Deep expertise in speech models (ASR, TTS, Speech LLM) and training frameworks (PyTorch, NeMo, ESPnet, Fairseq).
Proven experience with streaming RNN-T / CTC architectures, LoRA/adapters, and TensorRT optimization.
Strong understanding of telephony noise, codecs, and real-world audio variability.
Experience deploying models with Triton Inference Server, Kubernetes, and GPU scaling.
Hands-on with evaluation metrics (WER, F1 on entities, latency p50/p95).
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