科技 jobs

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。

作为生产支持负责人，您将负责支持金融服务行业的技术操作，确保系统的稳定运行和问题快速解决。此职位需要在广州工作，并熟悉技术支持和系统维护相关流程。

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.

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.

• 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.

• 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

This position will report to department head directly and work as an expert to support sales team

Need facing client and give solutions

• 负责北美市场智能选配商城从0到1的产品搭建，聚焦北美小B/小D分销端的全链路体验优化，深入洞察渠道客户及终端用户需求，持续推动产品流程迭代与本地化能力建设，提升选配完成率与下单转化效率。

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.

This role sits within a global sourcing organisation and is responsible for developing and executing sourcing strategies for critical electronic components. The position partners closely with engineering, quality, and operations teams to ensure supply security, cost competitiveness, and long‑term scalability.

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

负责软件研发中心技术战略规划和管理(专注于软件研发、软件效率提升，及数字化业务及技术创新); 洞察数字化技术和软件趋势，结合自身业务模式引导数字化技术战略方向; 对接BU与客户数字化需求，制定技术通用组件路线图并推进内部复用和实践;


• 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.

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

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.

人工智能前线部署工程师（FDE）负责在技术领域中将AI解决方案应用于实际业务场景。候选人需要具备扎实的技术背景，能够高效解决复杂问题并推动技术落地。

This role supports the design, management, and optimization of AI‑enabling and digital innovation platforms used across the organization, partnering closely with IT specialists and business teams. It sits within the technology function of a global financial institution focused on sustainable infrastructure, contributing to the expansion of enterprise AI capabilities.