Speech Recognition Engineer
at Product org focused on distributed contact centre solutions
Job Description: Speech Recognition Engineer
3 years of industry experience
Responsibility:
Development of ASR engine using frameworks like ESPNET or FairSeq or Athena or
Deep Speech using PyTorch or Tensorflow
Assist to define technology required for Speech to Text besides core engine
and to design integration of these technologies.
Work on improvement of model's accuracy and guide the team with best practices.
Desired experience:
Good understanding of machine learning(ML) tools.
Should be well versed in classical speech processing methodologies like hidden
Markov models (HMMs), Gaussian mixture models (GMMs), Artificial neural
networks (ANNs), Language modeling, etc.
Hands-on experience of current deep learning (DL) techniques like Convolutional
neural networks (CNNs), recurrent neural networks (RNNs), long-term short-term
memory (LSTM), connectionist temporal classification (CTC), etc used for
speech processing is essential.
The candidate should have hands-on experience and any of the end-to-end
implementation of ASR tools such as ESPNET or FairSeq or Athena or Deep
Speech
Hands-on PyTorch and Tensorflow experience is desirable.
Experience in techniques used for resolving issues related to accuracy, noise,
confidence scoring etc.
Ability to implement recipes using scripting languages like bash
Ability to develop applications using python, c++, Java
Knowledge of Transformer Models like BERT-base. ELMo, ULM-FIT
Experience in CI/CD pipeline, MLOps processes
Hands-on deployment experience using cloud applications like AWS, GCP
Location: Bangalore
Desirable Skills: ML, Knowledge of Speech Recognition frameworks such as ESPNET
or FairSeq or Athena or Deep Speech etc, Hands-on experience of deep learning (DL)
techniques like CNN, RNN, LSTM etc., AWS, GCP
Shubham Vishwakarma
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