Data Scientist - SpeechAI

Job Description: Data scientist Speech AI

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:

- 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