?Are you ready to push the boundaries of Audio Intelligence We’re looking for a Senior Data Scientist with deep expertise in Audio AI, Speech Processing, and Generative Modeling to design and develop advanced on‑prem multimodal systems capable of understanding, generating, and analyzing complex audio streams in noisy, real‑world environments You’ll join a world‑class Defense Tech AI team building speech‑driven solutions that enable intelligent communication, operational insight, and next‑generation human‑machine interaction :What You’ll Do Fine tune, and evaluate Speech‑to‑Text (STT) models optimized for noisy, low‑latency, and mission‑critical environments Develop speaker identification and diarization ,sentiment and emotional analysis to detect tone, stress levels, and affective patterns Design and optimize multimodal pipelines combining audio, text, and visual inputs for enhanced semantic understanding and cross‑modal reasoning Contribute to Generative AI innovations - noise reduction, voice conversion, speech enhancement, and conversation insights Collaborate closely with ML engineers and research peers to deploy, scale, and optimize Audio AI models on‑prem and edge hardware Work with domain experts to adapt models for real‑time speech understanding, decision support, and behavioral insights :Your Expertise Solid background in Machine Learning, Deep Learning, and Audio Signal Processing 5+ years hands‑on experience developing and deploying speech or audio‑based AI models 3+ years focused on STT / ASR, TTS, speaker recognition, or sentiment analysis Deep familiarity with architectures such as Conformer, Whisper, RNN‑Transducer, FastSpeech / Tacotron, speaker embedding networks, and self‑supervised speech representations Experience handling noisy, real‑time audio, latency optimization, and edge‑device constraints Understanding of semantic embeddings, multimodal search, and RAG architectures Strong data‑driven mindset and ability to conduct research on novel Audio
