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Hands-on lead role building production ML/AI systems for a logistics intelligence platform: turning delivery-operations data into prediction, anomaly detection and recommended actions. Core stack is Python for statistical/tabular modeling deployed on AWS with Docker, APIs, CI/CD and MLOps monitoring.
Hands-on lead role building production ML/AI systems for logistics operations — turning data into predictions, anomaly detection and recommended actions for delivery teams. Core stack includes Python, statistical/ML modeling, AWS, Docker, APIs and MLOps/CI-CD practices.
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