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 ente...