Develop advanced personalization and recommendation systems for digital grocery shopping. Build, deploy, monitor, and maintain machine learning pipelines and microservice APIs supporting production inference. Apply natural language processing, generative AI, large language models, agentic AI, recommendation models, deep learning, transformers, and classical machine learning techniques to real-world business problems. Evaluate and tune models, communicate technical results, and contribute to scalable AI solutions.

Lead development of predictive models and algorithms for supply chain optimization. Analyze large datasets, design experiments, build ML and simulation solutions, collaborate with IT/product teams to deploy scalable analytics products, mentor analysts, and drive data-driven operational improvements.