
Product Localization NLU Developer
2 weeks ago
As part of that team, you will be trained on Omilia's AI 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 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 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 NLU/NLP programming frameworks and tools such as NLTK, spaCy, DeepL, SparkNLP etc
- Familiarity with version control software tools
- 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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