Voice AI Engineer

UMATR; Abu Dhabi; Presencial; AED 300.000 - 500.000; Jornada completa

Descripción de la vacante

UMATR in Abu Dhabi is seeking a Senior AI Engineer specializing in speech and audio modeling. You will join a highly technical team, working hands-on across research, experimentation, and production to deploy end-to-end voice systems.

You will contribute to model development, evaluation, and deployment, with emphasis on low-latency inference and robust performance in real-world environments. Strong Python and PyTorch skills are required, with CUDA a plus.

Formación

• Extensive hands-on experience with speech and audio ML including ASR and TTS.
• Proven ability to take models from research through to production.
• Strong proficiency in Python and PyTorch.

Responsabilidades

• Develop and evaluate neural speech models from research to production.
• Build end-to-end voice pipelines integrating ASR, language models and TTS.
• Optimise latency and scale deployment in distributed environments.
• Collaborate across research and engineering teams.

Conocimientos

Speech & audio ML

Python

PyTorch

Inference optimization

Distributed systems

CUDA

Herramientas

PyTorch

CUDA

Descripción del empleo

We are seeking a Senior AI Engineer with deep expertise in speech and audio modeling to join a highly technical team This is a hands-on position that spans research experimentation and production engineering with a strong emphasis on deploying real-world systems You will contribute across the full lifecycle of voice systems including model development evaluation and deployment of end-to-end pipelines

What You ll Work On

Neural speech synthesis systems including TTS acoustic models and neural vocodersSpeech recognition systems including streaming ASR and CTC attention-based architecturesEnd-to-end voice pipelines integrating ASR language models and TTSBuilding robustness across diverse and noisy real-world audio environmentsLow-latency inference optimisation and scalable production deployment

What We re Looking For

Strong hands-on experience with speech and audio machine learning including ASR TTS VAD and audio processingProven ability to take models from research and experimentation through to productionStrong proficiency in Python and PyTorchExperience with inference optimisation distributed systems or CUDA is a plusComfortable working across research and engineering domains

Strong hands-on experience with speech and audio machine learning, including ASR, TTS, VAD, and audio processingProven ability to take models from research and experimentation through to productionStrong proficiency in Python and PyTorchExperience with inference optimisation, distributed systems, or CUDA is a plusComfortable working across research and engineering domains