Applied AI Engineer & Data Specialist (Decision Intelligence)

Applied AI Engineer & Data Specialist (Decision Intelligence) Open Positions: 5 Role Overview This role focuses on transforming raw retail signals into intelligent, continuously learning decision systems. The position ensures that field-level data evolves into structured intelligence, driving real-time and long-term business decisions. Key Responsibilities • Build demand forecasting pipelines leveraging real-time and historical data • Design and implement decision policies for pricing, buying, and working capital optimization • Develop optimization and inference loops for continuous decision improvement • Create event pipelines from Shop OS and related systems • Build and maintain feature stores for scalable ML systems • Enable feedback ingestion pipelines for continuous model tuning and improvement Expected Outcomes • Improved buying decisions and pricing strategies • Optimized working capital turns • Transformation of field behavior into reusable intelligence systems Required Experience • Experience in real-time analytics and streaming systems • Hands-on experience deploying applied machine learning systems in production environments (not research-only) Core Skills • Kafka, Spark, Databricks• Data contracts and pipeline reliability • Observability pipelines and monitoring • Python for data and ML workflows • Tableau / Looker Studio / Google Analytics • Feature engineering and feature pipelines • Real-time inference systems • Experimentation frameworks (A/B testing, evaluation systems)