Cloud MLOps Engineer supporting Data Science and Engineering teams by automating CI/CD pipelines and managing multi - cloud infrastructure for ML production.
About the role
- Senior Machine Learning Engineer involved in speech-to-text projects at Level AI. Designing ASR systems and collaborating in a fast-paced AI environment.
Responsibilities
- Work on problems arising in speech-to-text pipelines, such as transcription, diarization, voice activity detection.
- Train, deploy and maintain scalable automatic speech recognition pipelines to power Level AI’s ASR engine.
- Keep abreast of SOTA techniques in ASR and exchange knowledge with colleagues.
- Work with other team members to develop the architecture & design of systems.
- Ability to 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.
Benefits
- Compensation : We offer market-leading compensation, based on the skills and aptitude of the candidate.
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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