Key Result Area :

- Perform research and development on Machine Learning specifically in the areas of Speech Recognition, Digital signal processing, audio signal processing, Natural Language processing, Natural Language Understanding

- Read and keep up with the research in Speech recognition, Machine Learning, Deep Learning

- Understand and implement research papers to the business problem and build the technology

- Contribute to applied research and open source community

- Mentor and guide team members

Key Skills Required :

- Masters / Phd in Computer Science, Electrical Engineering, Signal Processing, or related disciplines

- 4-8 years of experience with 4+ years of relevant experience In depth knowledge of various Automated Speech Recognition (ASR), Natural Language Processing /Understanding (NLP/NLU) domains, speech to text (STT)

- Knowledge and skills on attention-based ASR models Skills in speech enhancement, noise recognition and cancellation

- Experience in Automatic speech recognition using deep learning techniques

- End to end automatic speech recognition Excellent background Machine Learning (Generative/Discriminative

- Models, Neural Networks, Regression, Classification, Clustering) Expertise in Text Mining (probabilistic topic models, word association mining, ontology learning, semantic similarity, etc)

- Expertise in NLP techniques (word representation, word2vec, doc2vec, Bayesian modelling, RNN, LSTM)

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