Machine Learning Engineer (Speech) - AI (Remote,India)
India
Applications have closed
Level AI
Level AI's call center AI uses semantic intelligence to understand support interactions to improve contact center team performance. Request a demo today.Roles and Responsibilities :
- Work on problems arising in speech-to-text pipelines, such as voice activity detection, transcription, automatic speech recognition (ASR) speaker diarization (SD),.
- Train, deploy and maintain scalable speech-to-text pipeline to power Level AI’s ASR engine.
- Keep abreast with SOTA techniques in your area and exchange knowledge with colleagues.
- Work with other team members to develop 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 :
- Bachelors in Computer Science or Electrical Engineering or related fields.
- Strong knowledge of Machine Learning fundamentals and Deep learning architectures like Transformer, Conformer etc…
- Understanding of Classical Speech processing models like gaussian mixture models(GMM) and Hidden Markov models(HMM).
- Understanding of Connectionist temporal classification (CTC) and RNN-T objective functions.
- Hands-on building n-gram language model & integrating with shallow fusion techniques.
- Hands-on experience with Python programming language and a Deep Learning framework like Pytorch/Tensorflow.
- Hands-on experience in deploying end-to-end speech recognition models using cloud applications like AWS, GCP.
- Awareness of state of the art research in speech recognition and Signal processing communities.
- Experience in Semi-supervised learning is a plus.
- Experience in building text-to-speech or punctuation restoration for ASR transcript models is a plus.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture ASR AWS Classification Computer Science Deep Learning Engineering GCP Machine Learning NLP Pipelines Python PyTorch Research RNN TensorFlow
Perks/benefits: Startup environment
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