(Summary generated by AI based on the full job description)
The project focuses on building and supporting ML solutions within a tech-driven company. Tasks include feature engineering, model selection and validation, and ensuring data quality. The stack lists XGBoost, LightGBM, MLP, Autoencoders, advanced SQL and Python tools like pandas, PySpark; Apache Spark is appreciated. Responsibilities cover processing large datasets, collaborating with Data Scientists and Data Engineers, automating pipelines and supporting the model lifecycle.




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