Master’s or PhD in Computer Science, Artificial Intelligence, Data Science, or related fields.
Strong experience with industrial large model reinforcement learning systems.
Minimum 3 years of experience managing research-oriented teams, defining business objectives, coordinating resources, and optimizing talent development pipelines.
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Multimodal AU data infrastructure and quality pptimization
Multimodal data representation and RAG-based application system
Individuals who are completing or recently completed a PhD in Artificial Intelligence, Computer Science, Computer Engineering, or a related technical discipline.
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Collaborate with development, QA, and operations teams to streamline DevOps practices, enforce Infrastructure as Code (IaC) using Terraform/Ansible, and improve deployment efficiency.
Monitor system performance, troubleshoot infrastructure and deployment issues, and implement proactive measures for incident prevention and system resilience.
Ensure adherence to security, governance, and compliance standards while driving continuous improvement initiatives in automation, release velocity, and operational stability.
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Strategic Allocation & Replenishment: Direct the flow of goods across global Distribution Centers and sales channels; optimize stock positioning to support "hyper-growth" markets and ensure high-heat collaborations reach the customer with maximum efficiency.
Commercial Governance: Maintain full accountability for the global Open-to-Buy (OTB) framework; proactively manage sell-through velocity and inventory turn using AI-powered BI dashboards to maximize operational efficiency.
Experience: >10 years in leading Merchandising, Category Management, Buying, or Commercial Planning for a global lifestyle, fashion, or high-growth D2C brand.
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