(Summary generated by AI based on the full job description)
The project focuses on developing and optimizing ML pipelines for the financial sector to influence business decisions. Required technical skills include XGBoost, LightGBM, MLP, autoencoders, advanced SQL and Python APIs such as PySpark and pandas. Responsibilities cover feature engineering, model selection, training, validation and testing, dataset suitability analysis and collaboration with data engineers to improve pipeline performance.

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