Ai Engineer

- Experience Level: 4–6 Years- Employment Type: Full-Time- Department: AI Platform / Digital Experience Innovation- Core Tech Stack: Python, XGBoost, Random Forest, Ensemble Methods, Oracle ERP, SQLKey Responsibilities- Pipeline Development: Design, build, and maintain robust, automated multi-model machine learning pipelines (including XGBoost, Random Forest, and custom Ensemble architectures) for high-accuracy demand and sales forecasting.- Granular Modeling: Develop and fine-tune predictive models at both macro-levels (PPGC) and highly granular levels (SKU) to support localized and global business planning.- Data Engineering & Preprocessing: Architect data preprocessing workflows, handling missing values, scaling, feature engineering, and outlier detection from enterprise data sources.- System Integration: Collaborate with IT and enterprise data teams to orchestrate seamless data integration pipelines between the ML forecasting platform and Oracle ERP systems.- Accuracy & Validation:...