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As part of this team, you will be trained on Omilia's Conversational AI platform and Speech-to-Text suite, working with cutting-edge technologies in signal processing and speech recognition.
Key Accountabilities:
- Audio signal processing, corpus processing & management, text normalization.
- Language modeling: training, evaluating, and optimizing language models for voice-enabled Conversational AI applications.
- Data augmentation for Language Models using various approaches including Generative AI.
- Phonetic lexicon curation.
- Developing and optimizing acoustic models for various languages, environmental conditions, and channels.
- Analyzing performance and optimizing existing Voice Activity Detection (VAD) models.
- Working with individuals from diverse backgrounds to analyze requirements and customize the ASR solution to enhance application performance.
- Academic Degree in Computer Science, Electrical Engineering, Computational Linguistics, Speech & Language Processing, a related field, or equivalent experience.
- Mid-Level Programming Knowledge, with a preference for BASH and Python scripting; however, Java or C++ are also acceptable.
- Familiarity with any of the following: Digital Signal Processing, language and acoustic modeling concepts for ASR, machine learning algorithms, phonetics and phonology.
- Comfort working in a Linux environment.
- Excellent command of spoken and written English.
- Strong communication skills.
- Ambition, enthusiasm, eagerness to learn, analytical and creative thinking, strong attention to detail.
- Well-organized for both team and/or solo assignments.
- Accountable within demanding deadlines.
- Familiarity with GitLab and Jira.
- Experience working with ASR platforms.
- Experience with speech analysis software such as Praat.
- Experience with voice-enabled conversational automated dialog systems.
- Experience in any production-level ASR/NLU/NLP solutions.
- Familiarity with ML frameworks such as PyTorch.
- Knowledge of additional languages (preferably Dutch and Scandinavian languages).
- Familiarity with linguistic concepts or a background in linguistics
- 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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