R&D Engineer, Saudi & Gulf Arabic

🔥 0 minutes ago

🗣️🇸🇦 Arabic Required

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Logo of SESTEK

SESTEK

51 - 200 employees

Founded 2000

🤖 Artificial Intelligence

☁️ SaaS

📡 Telecommunications

Artificial Intelligence • SaaS • Telecommunications

SESTEK is a conversational automation company that helps organizations improve customer experiences and operational efficiency. The company provides AI-powered solutions such as text-to-speech, speech recognition, natural language processing, and voice biometrics. These technologies are utilized in various applications, including virtual agents, customer authentication, interaction analytics, and automated quality management. SESTEK focuses on delivering scalable, omnichannel solutions for industries like banking, e-commerce, and contact centers, ensuring compliance with industry regulations and enhancing workforce management.

📋 Description

• Develop, train, and test Arabic text-to-speech models • Contribute to model training pipelines and evaluations • Translate linguistic and dialect feedback into concrete technical improvements • Contribute to Arabic text normalization, diacritization (tashkeel), and grapheme-to-phoneme components • Research and implement new voice, text, and data modules for company products • Research and integrate third-party components required by products • Enable product integrations with different platforms and provide support • Answer technical questions from assigned clients • Implement enhancements and improvements based on customer demand • Update and maintain installed programs at customer sites • Improve product performance • Implement coding and optimizations for product integrations • Handle improvements and bug fixes within the R&D team • Collaborate with Sestek and Unifonic teams and provide ongoing TTS expertise • Document R&D studies

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field • Approximately 3 years of experience in software development • Experience in speech technologies (TTS/ASR), NLP, or machine learning strongly preferred • Native proficiency in Arabic, including strong command of MSA and native-level command of Saudi/Gulf Arabic • Ability to recognize and distinguish Saudi dialects independently or with support from the Arabic Linguistics Specialist • Strong familiarity with Saudi/Gulf Arabic varieties • Good command of English • Turkish is a plus • Solid coding skills, such as Python • Familiarity with machine learning frameworks • Broader engineering skills such as MLOps, data pipelines, Kubernetes, low-latency APIs, and Git/version control are nice to have • Strong communication skills for working with linguists, customers, and other non-technical stakeholders • Analytical, solution-oriented, and customer-oriented approach

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