Job Description: Data scientist Speech AI

3 to 5 years of relevant experience

Responsibilities:

• Development of ASR engine using frameworks like Wav2vec or Deep Speech or using PyTorch or

Tensorflow

• Assist to define technology required for Speech to Text services 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:

• Excellent 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), 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 Wav2vec, Deep Speech, etc • Hands-on PyTorch and Tensorflow experience is

desirable.

• Experience in techniques used for resolving issues related to accuracy, noise, confidence scoring

etc.

• Strong background in Signal Processing desired.

• 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

Qualifications:

• 3 to 5 years of relevant work experience

• ML, Knowledge of Speech Recognition frameworks such as Wav2vec or Deep Speech or other ASR

models.

• Hands-on experience of deep learning (DL) techniques like CNN, RNN, LSTM etc., AWS, GCP.

• Ability to multi-task, organize, and prioritize work

Location: Bangalore