阿里巴巴LAZADA-AI Operation AI产品运营专家-杭州

1、负责Lazada用户侧AI产品运营，通过AI能力的应用，对电商导购链路等前台用户AI产品进行优化，帮助提升用户体验和平台转化； 2、对AI能力的变化发展能够实时的了解，并抽离成可在电商平台应用的能力，配合平台策略，制定AI产品方案，驱动业务增长； 3、能协同产品、设计、PR等多部门，做好AI产品在东南亚市场的用户教育和市场推广，提升Lazada AI的市场声量

1. 负责阿里云容器产品的架构设计和功能迭代演进。 2. 负责针对云产品和开源应用的容器集成方案设计,产品规划落地和技术支持。 3. 负责容器领域前沿技术的探索，对云原生AI和大数据等场景的支持。

我们正在寻找AI/ML技术的技术专家，包括计算机视觉(CV)，自然语言处理(NLP)和音频信号处理。您将负责与各种利益相关者(产品、运营、政策和工程)合作，并开发最先进的模型。 1、利用自然语言处理、机器学习或计算机视觉等内容理解能力设计和构建产品核心能力，提取数据洞察并优化变现策略； 2、基于最新的深度学习、机器学习、统计和优化技术的算法开发创新性解决方案并构建业务问题原型； 3、从0到1管理数据项目，并与产品经理协作定义用户故事和成功指标来指导开发过程； 4、使用不限于AB测试等方法验证项目的商业价值和预计收益； 5、与工程团队合作部署数据模型并将解决方案规模化。 We are looking for generalists and specialists in AI/ML techniques, including computer vision (CV), natural language processing (NLP), and audio signal processing. You will be responsible for partnering with a variety of stakeholders (product, operations, policy, and engineering) and developing state-of-the-art models. 1. Design and build core capabilities by leveraging content understanding; capabilities, such as natural language processing, machine learning, or computer vision, to extract insights and improve monetization strategies; 2. Develop creative solutions and build prototypes for business problems using algorithms based on the latest deep learning, machine learning, statistics, and optimization techniques; 3. Independently manage data projects from 0 to 1, and collaborate with product managers to define user stories, and success metrics to guide the development process; 4. Verify the business value and estimated revenue of the project using methods such as AB testing; 5. Collaborate with engineering teams to deploy and scale data science solutions.

1. 负责Lazada平台客服产品运营，对平台客服的整体业务目标负责，持续优化服务能力与用户体验，降低平台成本。 2. 洞察东南亚用户特点，结合国家策略，通过深入的数据分析挖掘本地化需求，推进客服流程改善以及体验提升； 3. 能协同业务运营、技术、设计等多部门，完成产品运营策略的发起、落地与上线后的数据分析与迭代。 1. Lead product operations for Lazada's customer care service, driving business objectives by optimizing service capabilities, enhancing user experience, and reducing costs. 2. Identify localized needs through data analysis and market insights across Southeast Asia. Improve customer care service processes aligned with regional strategies. 3. Collaborate with cross-functional teams (business operations, tech, design) to initiate, implement, and iteratively optimize product strategies through post-launch performance analysis.