Job description

Job Description:
  • Experience in Python programming using Pandas, NumPy, Scikit, Keras, TensorFlow and similar libraries.
  • Programming under functional and object-oriented paradigm.
  • Knowledge of traditional machine learning algorithms (Random forests/SVM) and Deep learning (deep, convolutional, and recurrent networks).
  • SPECIAL EMPHASIS on LSTM-based networks, and hands-on experience required.
  • Functional knowledge of Statistics and Linear algebra.
  • Basic data engineering skills, database access, SQL.

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