Full Time, Internee, Part Time
Posted 7 months ago

Key Qualifications

  • Solid understanding of Python, and general software development skills (source code management, debugging, testing, deployment etc.).
  • Experience with NLP technologies, sentiment analysis, & the handling of unstructured text.
  • High level understanding of text pre-processing and normalization techniques such as tokenization, lemmatization, stemming, POS tagging and parsing.
  • Prior experience in implementation and deployment with traditional ML – classification, regression or clustering problem.
  • Working experience in Software Development Lifecycles, agile methodologies, and continuous integration.
  • Expertise in text-analytics – Sentiment Analysis, Entity Extraction, Language modeling – and associated sequence learning models (RNN, LSTM, GRU, BERT)
  • Comfort in working with deep-learning libraries (Tensorflow, Keras, Theano, PyTorch)


Education & Experience

  • Degree in Computer Science or equivalent Engineering degree
  • Certifications in Machine Learning, Data Science, Artificial Intelligence, Computational Linguistics or related fields
  • Experience applying data science techniques to real business problems

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