Location: Türkiye
Working Style: Remote
Overview
We are looking for an R&D Engineer based in Türkiye to join our Arabic Text-to-Speech (TTS) team. This role offers the opportunity to combine strong engineering and machine learning skills with expertise in Arabic, particularly Saudi and Gulf Arabic varieties (with Najdi being a strong advantage).
Who we are
We are a global technology company, developing AI-powered conversational solutions that empower organizations to be data-driven, enhance efficiency, and offer superior customer experiences. We are an R&D center and our solutions are developed by a team of over 100 engineers specializing in text-to-speech, speech recognition, natural language processing, and voice biometrics technologies. As of 2022 we are a part of Unifonic, a leading Communications Platform as a Service (CPaaS) provider, and we have grown into an international organization with over 500 dynamic team members. We have a customer base of 500 enterprises across 20 countries in the US, EU and MENA regions.
What we expect
- Develop, train, and test Arabic TTS models; contribute to model training pipelines and evaluations.
- Translate linguistic and dialect feedback (from linguists, customers, and internal reviews) 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.
- Document R&D studies.
Who we are looking for
- Bachelor's degree in Computer Science, Engineering, or a related field.
- ~3 years of experience in software development; experience in speech technologies (TTS/ASR), NLP, or machine learning is strongly preferred.
- Native proficiency in Arabic, including strong command of MSA and native-level command of Saudi/Gulf Arabic (Najdi ideal; a neutral, widely understood Saudi Arabic is also a good fit). The candidate should be able to recognize and distinguish Saudi dialects independently or with the support of the Arabic Linguistics Specialist. Note: This role focuses specifically on Saudi/Gulf varieties of Arabic; strong familiarity with these varieties is essential.
- Good command of English; Turkish is a plus.
- Solid coding skills (e.g., Python) and familiarity with ML frameworks.
- Nice to have: broader engineering skills beyond R&D — MLOps, data pipelines, Kubernetes, low-latency APIs, git/version control.
- Strong communication skills — able to work effectively with non-technical stakeholders such as linguists and customers.
- Analytical thinking, solution-oriented, customer-oriented.
At Sestek, we believe in the power of diversity, and inclusive organizational culture. All candidates are considered equally regardless of their race, religion, color, age, sex, sexual orientation, gender identity or expression, national or ethnic origin, marital status, family status, disability, or genetic characteristics.
As SESTEK, we place great importance on protecting your personal data. Within the scope of our recruitment processes, you may access the Candidate Privacy Notice regarding the processing of your personal data via the links: English Version / Turkish Version
Skills Required
- Bachelor's degree in Computer Science, Engineering, or related field
- Approximately 3 years of software development experience
- Experience with speech technologies (TTS/ASR), NLP, or machine learning
- Native-level proficiency in Arabic including MSA and Saudi/Gulf dialects (Najdi ideal)
- Good command of English
- Solid coding skills (e.g., Python)
- Familiarity with ML frameworks
- Strong communication skills and ability to work with non-technical stakeholders
- Analytical, solution- and customer-oriented mindset
- Turkiye-based (role expects candidate to be based in Turkiye)
- Turkish language skills
- MLOps, data pipelines, Kubernetes, low-latency APIs, git/version control
What We Do
SESTEK is a conversational automation company working on AI-powered solutions for customer service since 2000. Our R&D team of 100+ engineers develops conversational products built on technologies such as speech recognition (SR), natural language processing (NLP), and voice biometrics. We help digitize customer service operations of 500+ enterprise clients in 20 different countries around the globe. SESTEK was acquired by Unifonic, one of the leading Communications Platform as a Service (CPaaS) providers, in 2022. OUR PRODUCTS Knovvu Virtual Agent With 100% in-house developed Speech Recognition (SR) and Natural Language Understanding (NLU) technologies, Knovvu Virtual Agent understands customer intent and responds without the need for live agents. Our market-leading speech recognition accuracy rate enables Knovvu Virtual Agent to effectively automate simple tasks, help increase self-service and decrease costs for customer service operations. Knovvu Analytics Knovvu Analytics collect 100% of customer interaction data at customer service channels and convert it into meaningful information for decision-makers. The solution provides critical insights to understand customers better and help to improve their experiences. Equipped with advanced quality management tools, Knovvu Analytics enable supervisors to objectively score and maximize agent performance with tangible feedback Knovvu Biometrics Monitoring more than 100 unique parameters of the voice, Knovvu Biometrics can authorize callers within seconds. Being a language, accent, or content independent, it provides a seamless experience in real-time.







