Senior Machine Learning Engineer - AI
Build, deploy, and maintain scalable speech recognition pipelines, while experimenting with model architectures and modern ASR techniques. Requires 2+ years of experience, strong machine-learning fundamentals, Python and PyTorch expertise, and a bachelor's degree.
About the job
Responsibilities
- Work on speech-to-text pipeline problems, including transcription, diarization, and voice activity detection.
- Train, deploy, and maintain scalable automatic speech recognition pipelines for the ASR engine.
- Keep current with state-of-the-art techniques in automatic speech recognition and share knowledge with colleagues.
- Collaborate with team members on system architecture and design.
- Independently conduct experiments with model architectures, training schemes, and approaches from ASR literature.
- Work in an agile environment to deliver high-quality products.
Requirements
- 2+ years of experience.
- Bachelor's degree in Computer Science or a related field from a tier-1 engineering institute.
- Experience deploying deep-learning 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.
Skills
Machine Learning, Deep Learning, Automatic Speech Recognition, Speech Recognition, Signal Processing, Python, PyTorch, Transcription, Diarization, Voice Activity Detection, Model Deployment, Algorithm Development, Agile
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