科技职位招聘信息

• 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。

• 该岗位负责上市公司内部资金在基金及相关金融产品中的投后管理、估值分析与组合监控。
• 强调扎实分析能力与长期视角，未来可根据个人能力拓展至更广泛的投资工作。

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.

作为数字领域的创新与技术战略负责人，您将领导技术团队，推动技术解决方案的创新和战略实施。

该职位负责支持公司海外扩张的财务战略规划与执行，同时推动财务团队的高效运作。我们正在寻找一位具有丰富海外财务管理经验的联席CFO，能够在企业业务高速发展过程中发挥重要作用。

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.

这是一份为金融服务行业技术部门招聘AI工程师的职位，主要负责开发和优化AI算法及模型，以支持公司业务目标的实现。我们正在寻找一位对人工智能充满热情的专业人士，能够在技术领域发挥关键作用。

该岗位为公司重点引入的高招核心人才，将深度参与公司关键业务、核心项目或管理支持工作，与创始人及核心管理团队紧密协作。在高度不确定、强智力密集的环境中，承担关键职责，推动重要事项高质量落地。

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.

• 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.

本职位专注于人工智能和算法的开发与应用，旨在推动金融服务行业的技术创新。工作地点为深圳，候选人将有机会参与技术项目，助力企业技术发展。

This role as an IT Audit Manager focuses on providing expert IT audit services within the professional services industry. The position requires a deep understanding of IT systems and their alignment with financial processes to deliver quality results.

***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.

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.

The AI Tech Lead will oversee the development and implementation of AI-driven solutions to optimise processes. This role, based in Shanghai, requires a forward-thinking professional to lead cutting-edge technology initiatives.

This is an excellent opportunity for a Sr. Java Backend Developer to join a company in the industrial and manufacturing industry. The role is based in Kunshan and involves working on innovative technology solutions within a collaborative environment.

数据工程师职位主要负责处理和管理数据相关的任务，确保数据的准确性和一致性。候选人需要具备数据分析和数据处理的相关技能，以支持分析部门的工作。

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.