Ola Cabs Careers Job Vacancies for Research Engineer

Job Id: 20201029017

Company: Ola cabs

Job Role: Research Engineer – II

Experience: 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)

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

Job Location: INDIA

Salary: Not Mentioned

Vacancies: Not Mentioned

Website: www.olacabs.com

Job Description Ola Cabs Careers Job Vacancies for Research Engineer in October 2020:

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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