Required Skills

Natural language processing Predictive modeling Analytics SQL Python

Work Authorization

  • Citizen

Preferred Employment

  • Full Time

Employment Type

  • Direct Hire

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 29th Aug 2022

JOB DETAIL

  • Understand and scope business problems with stakeholders and define success criteria
  • Develop and improve machine learning and/or reinforcement learning models, deep learning models and optimization alto's
  • Deployment and performance evaluation of models in production
  • Provide thought leadership in defining and solving business problems
  • Publish papers, articles, patents on novel ideas and applications of data science techniques

 

  • A Bachelors/Master s degree in Computer Science/Engineering (or equivalent experience)
  • 1 years of experience doing predictive modeling and machine learning in a production setting
  • Strong quantitative abilities, distinctive problem-solving and excellent analytical skills.
  • Strong organizational, communication, presentation and project management skills
  • Understanding of eCommerce/retail business - a plus

Technical Skillset

  • Tensorflow/Pytorch (must have)
  • Python
  • Advanced Excel
  • SQL
  • Strong expertise and mathematical understanding of one or more of the following areas is required:
  • Classic Machine learning techniques including regression, classification, similarity scoring and other predictive methods
  • Deep Learning and Neural Networks, such as detectors, classifiers, GANs, Reinforcement Learning, style transfer, and related learning algorithms or architectures.
  • Bayesian Methods and techniques
  • Experience in developing AI solutions for any of the following domains: Computer vision, Image processing, Geospatial Intelligence, Natural Language Processing (NLP)
  • AI Explainability methods, Adversarial Examples, and evaluation of AI algorithm performance.
  • Prescriptive Modelling concepts and techniques

Company Information