Mid-Level Speech Scientist/ Engineer
Greece - Remote
Omilia
Find out why Omilia was named a Leader in the 2023 Gartner Magic Quadrant™ for Enterprise Conversational AI Platforms for the second time in a row!We are currently growing rapidly, delivering conversational self service projects across 30 countries. We are seeking people with studies in Speech Signal processing, Computational Linguistics and/ or Natural Language Processing to join our world-class R&D speech team.
Key Accountabilities:
- Developing, optimizing & deploying state-of-the-art speech solutions:
- Automatic speech recognition
- Voice activity detection
- Speech enhancement
Requirements
- MSc/Phd degree in Computer Science, Engineering or a related subject
- Experience in machine learning, deep learning, speech applications including ASR, VAD, Speech enhancement.
- Extensive experience with speech recognition software such as PyTorch, Kaldi/K2, ESPnet, WeNet, OpenFST, Whisper
- Knowledge of modern speech recognition technologies: Voice Activity Detection, Automatic Speech Recognition, Speech enhancement (echo canceller (AEC), background noise reduction (NR)).
- MLOps - AWS experience and cloud deployments (Kubernetes, Docker, Git)
- Strong programming ability (Python and optionally C/C++)
- Excellent command of spoken and written English.
- Very good communication skills.
- Ambition, enthusiasm, and eagerness to learn, aptitude for analytical and creative thinking, with sharp attention to detail.
- Well-organized for both team and/ or solo assignments.
- Accountable within demanding deadlines.
Nice to have:
- Experience with customization of ASR solutions
- Experience with end-to-end speech recognition (Connectionist Temporal Classification, RNN Transducer, attention-based models)
- Experience with robust speech recognition in real-life environment
Benefits
- 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.
Omilia is proud to be an equal opportunity employer and is dedicated to fostering a diverse and inclusive workplace. We believe that embracing diversity in all its forms enriches our workplace and drives our collective success. We are committed to creating an environment where everyone feels welcomed, valued, and empowered to contribute their unique perspectives without regard to factors such as race, color, religion, gender, gender identity or expression, sexual orientation, national origin, heredity, disability, age, or veteran status, all eligible candidates will be given consideration for employment.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: ASR AWS Classification Computer Science Deep Learning Docker Engineering Git Kubernetes Linguistics Machine Learning MLOps NLP PhD Python PyTorch R R&D RNN
Perks/benefits: Career development
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