Senior Machine Learning Engineer (Speech AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Machine Learning Engineer (Speech AI): Building and optimizing speech-to-text pipelines, including transcription, diarization, and voice activity detection with an accent on deploying and maintaining scalable automatic speech recognition pipelines. Focus on independently conducting experiments with model architectures, training schemes, and state-of-the-art approaches in ASR for large-scale applications.
Location: Hybrid in Noida, India
Company
is a Series C startup headquartered in Mountain View, California, revolutionizing customer engagement by transforming contact centers into strategic assets using an AI-native platform.
What you will do
- Work on problems arising in speech-to-text pipelines, such as transcription, diarization, and voice activity detection.
- Train, deploy, and maintain scalable automatic speech recognition (ASR) pipelines.
- Keep abreast of state-of-the-art (SOTA) techniques in ASR and exchange knowledge with colleagues.
- Collaborate with team members to develop system architecture and design.
- Independently conduct experiments with model architectures, training schemes, and approaches proposed in ASR literature.
- Work in an agile environment to deliver high-quality products.
Requirements
- 2+ years of experience and a Bachelor's degree in Computer Science or a related field from a tier-1 engineering institute.
- Experience deploying Deep Learning-based models for speech recognition pipelines.
- Awareness of state-of-the-art research in speech recognition and signal processing.
- Algorithm and model development experience for large-scale applications.
- Strong knowledge of Machine Learning fundamentals.
- Experience with Python and Pytorch.
Culture & Benefits
- Work with cutting-edge technologies.
- Play a high-impact role in shaping the future of AI-driven enterprise applications.
- Work directly with people who have experience at Amazon, Facebook, and Google.
- Opportunity to have fun, learn new things, and grow with the company.
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