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• Develop a generative artificial neural network (ANN) for probabilistic radar QPE using single- and dual-pol radar data.
• Extend the developed generative ANN to allow additional conditioning on rain gauge data to provide a merged radar-gauge product.

• Ensue adherence to ServiceNow standards (out-of-the-box first) and help do develop and monitor governance directives
• Assess requirements regarding scalability, maintainability, and technical feasibility in the context of the platform

• Build scalable AI-supported products, services and internal tools that improve business processes, efficiency and measurable outcomes.
• Act as a sparring partner for leadership, product owners and engineering teams to identify and prioritise high-impact AI opportunities.

End-to-End Data Lifecycle Ownership: Lead the design and implementation of tracking strategies that cover the entire lifecycle: from initial requirements gathering to Generation, and finally to automated Validation....

Overseeing all Master Data procedures at Panasonic Industry Europe and implementing actions to ensure updates are reflected in the appropriate support systems, including SAP and workflow applications....