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About the role
Must have proficiency with Python and basic libraries for machine learning Proficiency with a deep learning framework such as NLTK, Spacy, Scikit-Learn, Tensorflow/ Pytorch/ Keras, Numpy, Pandas. Must have experience Algorithms on Sentiment Analysis, RNN (Recurrent neural network), Text extraction and processing, data cleaning, data processing. Required Skills : Hands on experience in supervised machine techniques and algorithms, Sentiment Analysis, RNN (Recurrent neural network), Text extraction and processing, data cleaning, data processing. Hands on experience in un-supervised machine learning techniques and algorithms, such as various clustering algorithms, dimensionality reduction techniques. Must understand Artificial Intelligence technologies including some or all. knowledge representation & reasoning (KRR), natural language processing (NLP), speech recognition, unsupervised machine learning, and/or reinforcement learning, Text mining and Text Processing, Decision tree and lexical analysis. Experience in Computer Vision and Image Processing. NLTK, Stanford Core, GATE, spacey etc.- Knowledge on Forecasting, Linear Optimization and various other applied statistical methods like hypothesis testing, Analysis of variance, confidence intervals etc. Experience in data training means it will be an advantage.
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