Technology职位招聘信息

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.

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

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。

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.

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.

The role will be responsible for designing a curriculum for various technology bootcamps.

This is a newly set up organisation that will play a significant role in putting Saudi's in to the technology work place.

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.

Deputy CIO /CIO Advisor required to oversee strategy of technology change within major Saudi Bank

This is an exciting opportunity for a Cyber Security professional to join a organisation within the Media & Agency industry. The role is based in Shanghai and focuses on ensuring the security and protection of the company's technological infrastructure.

***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。

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。

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

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；

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.

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.

• 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.