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You should have strong Datawarehousing knowledge preferably Spark Sql, MsSql or Oracle
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programming knowledge in one or more of the following: Python, Scala, C/C++, Matlab, PHP, Django, SQL/Postgres, Pytorch ASM, OpenCL, etc.
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knowledge of supervised and unsupervised learning ML/NLP models including data cleaning, developing data pipelines (both structured and unstructured),
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Good understanding of ML & NLP solutions using common ML libraries and frameworks, i.e., Pandas, Sklearn, TensorFlow, SparkML, Pytorch, Keras, spaCy
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understanding of feature creation, model selection and ensemble methods, performance metrics and visualization
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Knowledge of recognition, Document Classification, Document Summarization, Topic Modelling, Sentiment Analysis and OCR text processing is plus.
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