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As part of that team, you will be trained on Omilia's Al platform and gain an under-the-hood understanding of all technologies involved in enabling conversational, omni-channel human-system interactions.
Responsibilities
- Maintain and optimize existing Natural Language Understanding (NLU) rule-based (RB) and machine learning (ML) models in various languages (mainly Scandinavian, Balto-Slavic, Romance, Germanic, and Turkic)
- Work closely with native speakers to:
- Understand the grammar, syntax, semantic, and phonetic idiosyncrasies of a language;
- Develop NLU RB & ML models in new languages;
- Develop and/or review language-specific assets such as textual corpora, phonetic dictionaries, golden test sets, etc;
- Provide linguistic feedback for non-NLU components such as Automated Speech Recognition (ASR) and Text-to-speech (TtS)
- Provide assistance to the Quality Assurance (QA) team for test execution and test evaluation
- Contribute to the creation of a robust methodology to develop language-specific assets for new languages
- Academic Degree in Computational Linguistics, Natural Language Processing, related field, or equivalent experience
- Expertise with linguistic data for Indo-European languages with a focus on Scandinavian, Balto-Slavic, Romance, Germanic, and Turkic
- Basic programming skills in JavaScript, Python, bash, or other languages commonly used in Natural Language Processing (NLP) tasks
- Strong analytical, problem-solving, and debugging skills
- Excellent written and spoken English and at least one more language
- Additional proficiency in other languages
- Familiarity with Apache UIMA Ruta
- Familiarity with version control software tools
- Familiarity with NLU/NLP programming frameworks and tools such as NLT, spaCy, DeepL, SparkNLP etc
- 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
Key Skills
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