• Develop AI applications that will bring about efficiencies in business processes and operations, which may include building new computer vision, speech-to-text and natural language applications
• Development of ASR engine using frameworks like 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 improve data related processe
• Be responsible for developing, productizing, and maintaining the AI applications. Develop MLOps frameworks or processes for the same
  Developing classical machine learning models using python and manipulate data using SQL/python for generating various DS reports
• 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), recurrent neural networks (RNNs), long-term short-term memory (LSTM), connectionist temporal classification (CTC), etc used for speech processing is essential.
• Hands-on PyTorch and Tensorflow experience is desirable.
• Experience in techniques used for resolving issues related to accuracy, noise, confidence scoring etc.
• Ability to develop applications using python
• Experience in CICD pipeline, MLOps processes and hands-on deployment experience using cloud applications like AWS, GCP
• 5+ years of core data science experience is a must
• Bachelor’s/Master’s degree or Ph.D. with expertise in a quantitative field – preferably in machine learning, computer vision or natural language processing
• Experience in developing and maintaining engineering or AI applications is a must
• Strong programming experience (5+ years) in Python is a must
• Strong SQL coding experience is a must
• Clear understanding of basic financial and statistical concepts is a plus

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