Machine Learning Architect
Econolytics
Bangalore, Karnataka, India
6d ago
  • An expert capable of interpreting abstract data, apply mathematical algorithms on them to solve real-world problems.
  • Expert in prototyping traditional ML (GBMs, scikit, etc.) and AI frameworks (keras, tensorflow, mxnet, pytorch, etc.) for a variety of applications.
  • A clear and concise communicator, whether written or spoken.
  • Trained in a technical field with a B.S. degree in Computer Science, Math, Machine Learning, or similar field.
  • Must have skills

  • 12+ years of overall experience.
  • Machine Learning / Data Science
  • Linear regression, Logistic regression, Decision Tree, Random Forest & KNN
  • Data Science, Statistical modelling, Predictive Modelling, ML and Modelling Tools
  • Deep Learning
  • Google Cloud is good to have if no good experience with Azure or AWS
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