It jobs in China

小而美美资医疗器械公司诚招一名中国区IT经理，双线汇报给Global IT及中国区的业务主管。英文可以作为工作语言。沟通能力佳。必须有ERP，SAP经验。

The CTO will spearhead the front end equipment business unit's new product development initiatives, overseeing technology strategy, execution, and commercialization. This role requires a proven track record in translating research into market-ready solutions.

负责公司二级市场（港股和美股）的投资，并对投资业绩负责；

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.

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

Play critical role in the design, development, and deployment of AI platform. You will work collaboratively with a cross-functional team, focusing on MLOps, machine learning standardization, GPU and cloud platform setup, and data integrations. Your expertise will be pivotal in ensuring the scalability, reliability, and efficiency of our AI solutions

We are seeking a highly experienced Data Scientist to join our team at Luxury Brand Co. As a Data Scientist, you will play a pivotal role in driving data-driven decision-making across our luxury brand portfolio. You will be responsible for analyzing complex data sets, developing predictive models, and providing actionable insights that will help us understand consumer behavior, optimize marketing strategies, and enhance customer experiences.

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

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。

• 依托IT产业链的深厚资源及国际化投资经验，主导挖掘并培育高成长性科技制造企业。
• 结合行业洞见与生态圈优势，制定先进制造领域投资战略，赋能被投企业技术升级与全球化扩张，同时助力基金实现投资回报。

企业系统架构负责协助BP统筹企业内部应用的架构规划和应用增长，主要负责企业级系统的整体架构设计和技术规划，确保各个系统之间能够高效、稳定、安全地协同工作。以下是对这个角色的详细介绍。

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.

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

We are hiring a seasoned Head of QA to lead a 200-person global quality assurance team for a financial derivatives trading platform. This role will define and drive the QA strategy, automation, and compliance processes across multiple regions, ensuring product reliability and regulatory alignment, reporting directly to the CTO.

***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.