¢ Experience with Big Data, Neural network (deep learning), and reinforcement learning ¢ Ability to design machine learning systems ¢ Research and implement appropriate ML algorithms and tools ¢ Develop machine learning applications according to requirements ¢ Select appropriate datasets and data representation methods ¢ Run machine learning tests and experiments ¢ Perform statistical analysis and fine-tuning using test results ¢ Extend existing ML libraries and frameworks ¢ Keep abreast of developments in the field ¢ Understanding of data structures, data modeling and software architecture ¢ Deep knowledge of math, probability, statistics and algorithms ¢ Ability to write robust code in Python, Java and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Skills : - Machine Learning (ML), Data Structures, Data engineering, Big Data and Neural networks

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