OLA Cabs - Research Engineer II - NLP/Machine Learning (4-8 yrs) Bangalore (Analytics & Data Science)
OLA Cabs
1d ago
source : hirist.com

Job Title : Research Engineer II - Voice & Text

Job Summary :

Research Engineer II is expected to develop voice and text-based products using state of the art Machine Learning, Deep Learning, Speech Recognition, NLP technologies

Key Result Areas (Accountability & Responsibility of the role) :

  • 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 :

    Minimum Qualifications :

  • 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 / Discriminativemodels, 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)
  • Ability to work with structured and unstructured data
  • Strong software engineering skills
  • Good knowledge of algorithm development
  • Preferred Qualifications :

  • Strong experience and expertise in Speech Recognition, Natural Language understanding
  • Publication record in Machine Learning / Deep Learning conferences and Journals in areas of speech recognition, natural language processing, natural language understanding
  • Experience in applying deep learning techniques to text and Exposure :
  • 4+ years of experience in automated speech recognition
  • 4+ years of experience in NLP and NLU domains
  • Key Specs / Sample questions to assess the relevance of the candidate :

  • Number of years of Experience in Speech Recognition?
  • Did you publish any papers or file any patents?

    What is your experience on noise cancellation and reduction? What techniques have you used?

    Note : For your candidature to be considered on this job, you need to apply necessarily on the redirected career page of the company as well.

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