It职位 - 上海地区

This temporary Cloud Security role in Shanghai focuses on safeguarding cloud infrastructure within the retail industry. The position requires expertise in technology to ensure robust security measures and compliance.

***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.

• 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。

This is an exciting opportunity for a Data Product Manager in the retail industry to lead data-driven initiatives and optimise product performance.

We are looking for a Product Manager professional to join a global organisation in the Fintech industry. This position is based in Shanghai and focuses on managing financial products and related technology initiatives.

• Digital Product Strategy and Roadmap:
• Digital Product Development:
• Product Go to Market
• Team Leadership and Management

The AI Director will lead and oversee the development and implementation of artificial intelligence strategies and technologies within the business services industry. This role requires expertise in technology leadership, innovation, and strategic planning to drive organisational success.

Data Strategy & Data Governance Leadership

· Define and maintain the APAC Data Strategy (architecture principles, governance model, standards, KPIs).

· Ensure data quality, privacy, and governance standards across all digital initiatives.

· Drive the alignment with ITD on data architecture, pipelines, integration, and security.

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.

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。

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.

In charge of lead internal employees and supplier teams to deliver the Power BI project, oversee project technical details, maintain good communication with external teams, and ensure delivery time and quality.

To lead the digital transformation of Sales Force Effectiveness (SFE) and online business enablement.
This role is pivotal in driving execution excellence, operational efficiency, and data-driven insights through innovative digital solutions

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.

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