Project Overview

Join a cutting-edge initiative focused on building advanced AI voice infrastructure for Arabic-speaking markets. The project involves developing state-of-the-art Arabic speech technologies, including:

• Natural Text-to-Speech (TTS)


• Real-Time Automatic Speech Recognition (ASR)


• End-to-End Speech-to-Speech Conversational Systems

The solutions are tailored to regional Arabic dialects, including Egyptian, Gulf, Levantine, and others.

Tasks

Job Description

We are seeking a highly skilled Senior Applied Machine Learning Engineer with deep expertise in speech and audio technologies. In this role, you will design, fine-tune, and optimize advanced machine learning models for Arabic voice applications. You will work across the full development lifecycle, from data pipeline construction and model experimentation to inference optimization and production deployment.

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