信息技术 jobs

Key Responsibilities
* Define and own the AI roadmap across LLM and imaging initiatives.
* Lead development of NLP/LLM tools for clinical and patient use.
* Design end-to-end system architecture for AI model deployment and integration.

***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.

As an AI Compiler Engineer, you will be instrumental in designing and optimizing AI compilers that seamlessly integrate with our client`s custom AI chips, enhancing the performance and efficiency of AI workloads. Your expertise in AI deep learning and reasoning engines will play a crucial role in shaping the future of AI processing.

* 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。

• 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.

• 领导IT审计工作，包括开发IT审计框架、规划年度IT审计任务，并执行审计项目直至报告完成。
• IT相关的内部审计任务包括网络安全、IT一般控制、应用控制、系统实施、变更管理、业务连续性、信息安全、运营和咨询项目等。
• 与IT、信息安全和工程团队广泛互动，并在产品安全、数据安全和漏洞领域执行项目顺利。

作为财务系统项目经理兼业务分析师，您将负责与业务和 IT 领导紧密合作，定义财务领域的需求和优先级，确保与业务愿景和关键战略保持一致。您需要在技术团队和业务团队之间建立有效的沟通渠道，确保项目的顺利推进和业务价值的实现。

硅谷归国科学家及最强大脑共事, 核心技术团队招聘核心全栈机器人工程师

• Implement and validate electronic designs through software development, test and simulation.

Our client is seeking a skilled and innovative Robotics Engineer to design, develop, and implement robotic systems that enhance automation and improve operational efficiency and success rates. The ideal candidate will have a strong background in mechanical, electrical, and software engineering, along with expertise in robotics technologies, sensors, and control systems.

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).

This role provides you with the opportunity to grow together with a young team in a good environment, and assist in completing the AI project landing for various BU groups in the Asia-Pacific region.

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。

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

- The Lead Software Engineer supervises, leads the design, build, deployment and maintenance of tailor-made and/or software packages or the adaptation of existing ones.

- Act as a bridge between technical (developers, infra, etc.) and non-technical (business, BA, PM, squad, etc.).

- Stay up-to-date with cutting-edge technologies, particularly in AI empowered technical solutions.