Shanghai jobs in IT

负责公司在线旅游平台的前端开发工作.

Multinational company is looking for a Data Product Owner role

• 负责财务信息化系统的选型、评估和引进工作，对市场上的各类财务软件和解决方案进行深入调研和分析，为公司选择最适合的财务信息化系统。

作为应用开发总监，你将全面负责企业内部信息化建设中的小程序开发管理、供应商管理以及团队管理工作。通过高效的领导和专业的技术指导，推动企业信息化进程，提升企业运营效率和竞争力。

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.

* 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。

The SAP FICO Manager position will be responsible for SAP project roll out from zero to both APAC and global business. It will lead a team of consultants in charge of planning, implementation and delivery.

In charge of projects from end to end from business need analysis to project delivery. Work with stakeholders for technical projects in domains like Finance, HR and e-commerce etc..

作为图像视频算法专家，你的工作职责是通过深度学习和计算机视觉技术，研发和优化图像和视频处理算法，提升消费电子产品的图像和视频性能，为用户带来更优质的视觉体验，并负责将算法集成到产品中，确保其在实际应用中的性能表现，同时参与技术分享和传播，推动图像视频处理领域的发展。

As a Software Embedded Engineering Director, you will lead the entire software development life cycle, including obtaining/reviewing software requirements, code architectures, and end-to-end software implementation for our products within the Tools & Outdoor Business Group, working with other functions such as Electronics Hardware and Product Engineering.

This Digital Tech VP role will be responsible to develop the digital strategies for the organization and drive innovation to enable business transformation and growth for business in China.

The role will be reporting directly to the Global Digital Head, and dotted line to China Business.

• Take on the role of a hands-on engineering manager, owning tech scoping, backend architectural design, and up to date AI-centric initiatives. Mentor other engineers in deploying enhancements to the primary product.
• Collaborate with product teams, marketers, data analysts, and other engineering teams to execute highly cross functional and time sensitive projects.

• UtilizeUtilize advanced data analysis, modelingmodeling, and machine learning techniques to develop predictive and prescriptive models that drive business outcomes.
• Develop and implement machine learning algorithms and artificial intelligence solutions to address complex business problems.
• Keep abreast of the new trends and technologies in data science to contribute to the development of innovative solutions.

• Develop and maintain data models that align with business requirements and technical constraints.
• Collaborate with cross-functional teams to define data architecture strategies.
• Ensure data integrity, security, and compliance with industry standards.
• Lead data integration projects and manage data migration activities.

目前在帮一家业务发展良好的头部资方公司看一位资深的技术负责人（软件架构方向），理想的候选人画像包括：拥有良好的学历背景，计算机专业科班出身，至少有一段金融行业工作经验（或者对金融行业有兴趣），7年以上工作经验，早期在科技类大厂平台工作，英文好加分

岗位职责：

1、作为3D研发团队的核心成员，规划3D产品中长期架构优化设计方案；

2、结合3D用户需求，设计符合产品长期发展的、功能模块化的软件架构；

3、分解架构优化方案，带领团队制定阶段性研发目标和实施方案；

1、 构建并优化平台物流数据看板体系和数据分析体系，提升业务决策效率

2、深度分析看清业务问题、机会及破局点，协同横向优化

3、 联合数据团队,构建多维分析、离线建模可视化等分析工具

• You will work on various aspects of Big data analytics and development, Data Management, Governance and Information Architecture.
• Design and develop data solution architecture on scalability, good performance and flexibility throughout the entire data life cycle (ingestion, storage and consumption
• Define and prioritise product requirements, user stories, and acceptance criteria for data and analytics products and ensure what was agreed gets delivered