
201 - 500 employees
Founded 2002
🤖 Artificial Intelligence
🛍️ eCommerce
Artificial Intelligence • eCommerce • Customer Service
Omilia is a leader in Conversational AI, specializing in voice and chat solutions that enable natural, end-to-end customer interactions. Their Omilia Cloud Platform provides advanced AI-driven customer service tools, including real-time agent assistance, voice biometrics for fraud prevention, and data analytics to enhance customer insights. Serving industries such as finance, insurance, retail, automotive, and travel, Omilia focuses on automating customer service while ensuring a secure and personalized experience.
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201 - 500 employees
Founded 2002
🤖 Artificial Intelligence
🛍️ eCommerce
Artificial Intelligence • eCommerce • Customer Service
Omilia is a leader in Conversational AI, specializing in voice and chat solutions that enable natural, end-to-end customer interactions. Their Omilia Cloud Platform provides advanced AI-driven customer service tools, including real-time agent assistance, voice biometrics for fraud prevention, and data analytics to enhance customer insights. Serving industries such as finance, insurance, retail, automotive, and travel, Omilia focuses on automating customer service while ensuring a secure and personalized experience.
• Ensure the linguistic and phonetic quality of Omilia’s multilingual Text-to-Speech (TTS) systems by designing phoneme inventories, developing lexicons, and reviewing audio corpora to support enterprise-grade voice experiences. • Independently conduct phonological and phonetic analysis, design phoneme inventories, and develop lexicons for multiple languages. • Responsible for linguistic quality across all supported languages in TTS, including handling underrepresented phenomena and complex language-specific features. • Directly influences the naturalness, accuracy, and quality of Omilia’s TTS output, impacting customer experience in global contact center deployments. • Collaborates with TTS engineers, data scientists, and ML researchers; coordinates with native-speaker reviewers and external annotation pipelines. • Document language-specific features (prosody, stress, tone, coarticulation, dialect variation). • Produce structured language profiles for TTS model training and evaluation. • Define and maintain phoneme inventories; map to IPA and TTS-specific conventions. • Corpus audits and optimal audio references selections for TTS target voice tuning • Build and maintain pronunciation lexicons, including G2P rules and exceptions. • Review and correct machine-generated G2P outputs; conduct pronunciation audits. • Annotate audio corpora, develop evaluation protocols, and produce error analyses. • Define linguistic criteria for TTS corpus selection and design prompts for data collection. • Collaborate with TTS engineers to integrate linguistic artefacts into synthesis pipelines. • Contribute to internal documentation and participate in research discussions.
• M.Sc. or Ph.D. in Linguistics, Phonetics, Computational Linguistics, or related field. • Proven experience building pronunciation lexicons or G2P systems for TTS or ASR. • Deep knowledge of phonological theory, articulatory and acoustic phonetics. • Proficiency with IPA and at least one machine-readable phoneme notation system (X-SAMPA, ARPAbet, etc.). • Experience with corpus annotation tools (Praat, ELAN, WebAnno, etc.). • Strong analytical and documentation skills. • Fluency in English; proficiency in at least one additional language relevant to Omilia’s markets. • Technical skills: Praat, ELAN, Audacity, PLS/CMUdict/SSML lexicon formats, Phonetisaurus/Sequitur/neural G2P, basic Python or shell scripting, TTS text normalization.
• Fixed compensation; • Long-term employment with the working days vacation; • Development in professional growth (courses, training, etc); • Being part of successful cutting-edge technology products that are making a global impact in the service industry; • Proficient and fun-to-work-with colleagues; • Apple gear.
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