Big Data & AI Chief Technology Officer – Guangzhou
大数据与人工智能首席技术官 - 广州
Lead AI Technology Strategy & Operations
领导人工智能技术战略和运营
The Career工作职责
1.Technology Strategy & Execution: Develop and implement the company's AI tech strategy, adapting to market dynamics and customer needs. Stay current with AI trends and regulations.
技术战略与执行:制定并实施公司的人工智能技术战略,适应市场动态和客户需求。跟踪人工智能的最新趋势和法规要求。
2.Product Adaptation: Customize AI products for diverse user preferences and market readiness, collaborating cross-functionally.
产品适应性:根据不同用户偏好和市场准备情况定制人工智能产品,跨职能合作。
3.Regulatory Compliance: Ensure AI compliance with data privacy and cybersecurity regulations, adapting practices as needed.
合规管理:确保人工智能符合数据隐私和网络安全的法规,根据需要调整实践方法。
4.Team Leadership: Build and lead a skilled AI team, fostering innovation and talent retention.
团队领导:建立和领导一支技术娴熟的人工智能团队,促进创新和留住人才。
5.AI Research & Innovation: Drive AI research and collaborate with institutions for cutting-edge advancements.
人工智能研究与创新:推动人工智能研究,并与机构合作进行前沿技术的发展。
6.Technical Infrastructure: Define AI system architecture, focusing on data security and compliance.
技术基础设施:定义人工智能系统架构,注重数据安全和合规性。
7.Project Management: Efficiently manage AI projects, adjusting to market dynamics.
项目管理:高效管理人工智能项目,根据市场动态进行调整。
8.Market Insights: Gather and analyze market insights, building strong AI industry relationships.
市场洞察:收集和分析市场洞察,建立强大的人工智能行业关系。
9.Intellectual Property Management: Safeguard intellectual property and respond to potential infringements.
知识产权管理:保护知识产权并应对潜在的侵权行为。
10.Budget Oversight: Manage tech budget with local cost considerations in mind.
预算监督:考虑本地的成本因素,管理技术预算。
11.Reporting & Communication: Provide regular updates to executives, investors, and authorities on tech initiatives.
报告与沟通:定期向公司高管、投资者等更新技术项目进展情况。
12.Innovation Culture: Foster an innovative culture within the tech team, tailored to unique talent characteristics.
创新文化:在技术团队中培养创新文化,根据不同的人才特点进行调适。
The Requirement 职位要求
1.Advanced degree in computer science, AI, or a related field.
计算机科学、人工智能或相关领域的高级学位。
2.Over 10 years of extensive experience in AI research and development
在人工智能研究与开发方面拥有超过10年的丰富经验。
3.Strong leadership and team management skills.
出色的领导能力和团队管理能力。
4.Proficiency in AI programming languages.
精通人工智能编程语言。
5.In-depth knowledge of the AI ecosystem, regulations, and market dynamics.
深入了解人工智能生态系统、法规和市场动态。
6.Excellent problem-solving and communication skills.
优秀的问题解决能力和沟通能力。
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