It jobs in Shanghai

工作职责：
1. 主要职责： 构建金融支付核心产品的关键业务指标体系，监控数据异常，分析潜在问题，及时识别业务风险，并提供专业建议以支持决策。
2. 数据驱动决策： 与业务团队合作，进行数据建模和迭代优化，运用AB测试等方法评估改进效果，推动业务部门的数据驱动决策。

We are seeking an Application Engineer to join the Technology department within the Retail industry. The role is based in Shanghai and requires expertise in supporting and enhancing applications to meet business needs.

This role leads the design and deployment of enterprise GenAI solutions across the APAC region, with a strong emphasis on data pipelines, platform architecture, and real-world implementation. You will combine technical leadership with hands-on delivery, working closely with business stakeholders to drive AI adoption and measurable impact.

• 拥有计算机科学、数学、统计学或相关领域的本科及以上学历。
• 拥有计算机科学、数学、统计学或相关领域的本科及以上学历。熟练掌握至少一种编程语言，如Python、Java或C++。
• 有机器学习和数据处理的实际项目经验。
• 有机器学习和数据处理的实际项目经验。对大数据技术有深入理解，熟悉Hadoop、Spark等数据处理框架。
• 对大数据技术有深入理解，熟悉Hadoop、Spark等数据处理框架。具备良好的团队合作精神和沟通能力。

本职位寻求一名经验丰富的软件工程师，负责技术开发与优化工作，助力半导体的核心业务。您将与团队合作，运用技术解决方案推动项目成功。

As a Principal Solution Architect, you will be part of a team of seasoned and like-minded individuals within our Professional Services organization. Your goal will be to bring to life complex software solutions that advance our geo-location business and vision. Your peers will rely on you to provide them with technical leadership as well with business acumen.

This role involves le*ding the technical delivery of customer-facing software solutions across industries such as Automotive, Transportation and Logistics. You will be responsible for the full lifecycle of solution development.

***有海外学习或工作经历，英文可以作为工作语言

1. 学历及背景要求:硕士及以上学历，具有海外学习/工作经历或在华外资企业工作经历者优先
2. 精通机器学习算法，熟悉自然语言处理(NLP)技术，掌握计算机视觉技术
3. 深入理解农业机械行业知识，能够将AI模型部署到嵌入式系统或边缘计算设备

• You will implement generative AI use cases that bring measurable economic benefit by designing and implementing suitable generative AI solution architectures, including software design and Cloud architectures.
• You join and contribute in internal communities of practice in order to shape the generative AI tech-stack.

* Crafting, executing, and overseeing AI/ML solutions throughout their lifecycle, from inception to deployment.

* Pioneering cutting-edge machine learning models, particularly in the realm of deep learning, tailored for predictive tasks in the biomedical sector.

* Steering initial project conceptualization and establishing clear project parameters alongside subject matter specialists.

We are seeking a talented Full Stack Engineer to join a global company in payment industry. This role requires a skilled individual to contribute to innovative projects and collaborate with a dedicated team.

作为一名安全项目管理办公室（Security PMO），您将负责在快速消费品（FMCG）行业中协调和管理技术部门的安全相关项目。该职位需要具备优秀的项目管理技能以及对技术安全的深刻理解。

作为CDO首席信息官，负责制定并推进公司"端到端"（从产品研发、智能制造到渠道销售、用户运营）的数字战略，通过技术+数据+业务融合，驱动营收增长、效率提升和用户体验升级。

1、数据分析 - 结合业务痛点通过数据分析找到生意现象的本质原因，及推荐决策和期待的决策效果；

2、发展战略制定 -结合业务发展目标和现今痛点，定位并量化业务未来的发展主要动力，能制定未来短期中期和长期业务发展规划和战略，用数据指导业务发展战略；

Job Responsibilities:

• Data Analysis: Perform in-depth data analysis to identify trends and insights.
• Product Development: Drive the development of data-driven products and services.
• User Experience: Ensure data products meet the needs of end-users and enhance their experience.

As the company's business expands rapidly, we are looking for a Data Product Requirements Analyst to help further optimise and enhance our data processing capabilities.

管理营销中心 数据和系统

You will bridge data science, marketing technology, and business strategy to optimize customer acquisition, engagement, and omni-channel experiences. By unifying customer data, media analytics, and AI-driven insights, you'll orchestrate personalized journeys across digital and physical touchpoints (e.g., media, e-commerce, retail).

1. 负责集团相关数据产品的可视化系统设计，将数据资产化，发挥数据价值；
2. 协助各BI报表的出具，保证数据质量。
3. 规划及管理相关数据产品，主导梳理集团各业务域版块的核心指标设计

The Digital Product Manager will lead the development and optimisation of digital solutions to enhance customer experience and drive business growth in the retail industry. Based in Shanghai - Jingan, this role requires strong expertise in managing digital products within the technology space.