Machine Learning Engineer II, Logistics AI
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Die Stelle
Design, develop, and deploy machine learning solutions to address practical marketplace challenges in logistics.
Collaborate with product managers, data scientists, and backend engineers to translate business needs into ML applications.
Prototype and experiment on routing, pricing, dispatch, and geospatial problems to improve efficiency and quality.
Contribute across the full lifecycle—from concept through prototyping to production and monitoring.
Engage diverse stakeholders to ensure solutions align with goals and integrate smoothly with existing systems.
Continuously refine algorithms and models to push operational efficiency in a high-throughput environment.
Collaborate with product managers, data scientists, and backend engineers to translate business needs into ML applications.
Prototype and experiment on routing, pricing, dispatch, and geospatial problems to improve efficiency and quality.
Contribute across the full lifecycle—from concept through prototyping to production and monitoring.
Engage diverse stakeholders to ensure solutions align with goals and integrate smoothly with existing systems.
Continuously refine algorithms and models to push operational efficiency in a high-throughput environment.
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