Speaker Diarization/Speech Recognition Engineer

Educational Qualifications: B.E/B.tech

Skillset Requirements:

Language: Python (numpy, pandas, matplotlib, seaborn etc)

ML/DL Frameworks:• Familiar with at-least one of following:
Tensorflow, Keras, Scikit-learn, Pytorch,
Caffe.

Machine Learning: Exploratory Data Analysis (EDA), Classification and regression, Clustering.

Deep Learning: Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN, LSTM etc), Ability to train models from scratch.

AI Domain:
Hands-on experience in any one of the
following: Speech/ Speaker Recognition, Speaker Diarization, Text to Speech (TTS), Audio Classification, Audio Enhancement etc.
• Ability to comprehend and implement latest research papers.