(Summary generated by AI based on the full job description)
The project focuses on developing and validating ML models within an analytics team. Technologies used include XGBoost, LightGBM, MLP, Autoencoders, advanced SQL and Python tools such as pandas and PySpark, with Apache Spark appreciated. Responsibilities include feature engineering, model selection, training, validation and testing, data optimization and improving ML pipelines and automation.




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