Job Description

  • Develop, process, cleanse and enhance data collection procedures from multiple data sources.
  • Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.
  • Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
  • Work closely with product teams to implement algorithms with Python and/or R.
  • Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
  • Facilitate integration with enterprise applications using APIs to enrich implementations.
  • Experience in developing and deploying machine learning, deep learning, NLP solutions.
  • Experience with common data science toolkits, such as Scikit, NumPy, R libraries - Excellence in at least one of these is mandatory.
  • Proficiency with any one NoSQL databases such as MongoDB, Cassandra, HBase.
  • Should have prior experience in developing APIs,...

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