Arabic TTS R&D Engineer (Saudi & Gulf Dialects)

SESTEK tr; Turkey; On-site; TRY 180,000 - 320,000; Full time

Job summary

SESTEK recruits an R&D Engineer in Türkiye to join the Arabic TTS team, shaping dialect-aware models and robust training pipelines. You will translate linguistic feedback into usable improvements and contribute to G2P and text normalization efforts.

You should have ~3 years in software or ML with Python, NLP or speech tech experience, strong English, and familiarity with ML frameworks. Collaboration with Unifonic and client support are key aspects.

Qualifications

• ~3 years of experience in software development; experience in speech technologies (TTS/ASR), NLP, or ML is strongly preferred.
• Native proficiency in Arabic, including strong command of MSA and native-level command of Saudi/Gulf Arabic (Najdi ideal).
• Good command of English; Turkish is a plus.
• Solid coding skills (e.g., Python) and familiarity with ML frameworks.

Responsibilities

• Develop, train, and test Arabic TTS 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 (G2P) components.
• Research new modules related to voice, text, and other data in company products, and implement them.
• Research and integrate third-party components required by our products; enable integration of company products with different platforms and provide support.
• Answer technical questions from assigned clients; implement enhancements and improvements in line with customer demand.
• Update and maintain installed programs at customer sites; strive to increase product performance.
• Implement coding and optimizations for product integrations; handle improvements and bug fixes within the R&D team.
• Collaborate closely with the Sestek and Unifonic teams and provide ongoing TTS expertise throughout the project.

Skills

Python

ML frameworks

NLP

Speech technologies

TTS/ASR

Education

Bachelor's degree, computer science/engineering

Tools

Kubernetes

Git/version control

Data pipelines

MLOps

Job description

SESTEK recruits an R&D Engineer in Türkiye to join the Arabic TTS team, shaping dialect-aware models and robust training pipelines. You will translate linguistic feedback into usable improvements and contribute to G2P and text normalization efforts.

You should have ~3 years in software or ML with Python, NLP or speech tech experience, strong English, and familiarity with ML frameworks. Collaboration with Unifonic and client support are key aspects.