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Builds the AI layer for WasteHero's waste-collection platform: designing ML models and data pipelines for fill-level forecasting, dynamic routing and anomaly detection, plus LLM-based assistants for operations teams. Core stack is Python, SQL, dbt/Spark-style pipelines and cloud ML tooling.
Design ML models and data pipelines that optimize waste collection routes across municipalities and fleets, build evaluation metrics and monitoring for reliable numbers, and help deploy LLM-based assistants with guardrails in daily operations. Core tech: machine learning, data engineering, and LLMs.
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