AI/ML 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, SQL

Key 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 : Collab...