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Must-have:

— Strong knowledge of Python (numpy, pandas, scikit-learn, etc.);
— Experience with big data technologies;
— Experience with at least one DL frameworks (Tensorflow, PyTorch);
— Experience in developing model from scratch (problem definition, data collection, feature engineering, model selection, validation, tuning, etc.);
— Deep understanding of classical ML Algorithms;
— Good knowledge of math and statistics;
— Good knowledge of PostgreSQL, MS SQL.


Must-have:

— The ability to perform all stages of Machine Learning services development — from data collection to production deployment
— Experience in data preparation, data normalization, and feature engineering for Machine Learning
— Advanced level in TensorFlow and Keras
— Experience in Data Science
— Experience in programming on Python
— Strong math background for Machine Learning and Data Science
— Experience in data collection from different data sources (SQL databases, third-party services)
— Experience with SQL databases (PostgreSQL / MS SQL / MySQL)

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