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Big Data & AI Chief Technology Officer – Guangzhou 大數(shù)據(jù)與人工智能首席技術(shù)官 - 廣州 Lead AI Technology Strategy & Operations 領(lǐng)導(dǎo)人工智能技術(shù)戰(zhàn)略和運(yùn)營 The Career工作職責(zé) 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. 技術(shù)戰(zhàn)略與執(zhí)行：制定并實(shí)施公司的人工智能技術(shù)戰(zhàn)略，適應(yīng)市場(chǎng)動(dòng)態(tài)和客戶需求。跟蹤人工智能的最新趨勢(shì)和法規(guī)要求。 2. Product Adaptation: Customize AI products for diverse user preferences and market readiness, collaborating cross-functionally. 產(chǎn)品適應(yīng)性：根據(jù)不同用戶偏好和市場(chǎng)準(zhǔn)備情況定制人工智能產(chǎn)品，跨職能合作。 3. Regulatory Compliance: Ensure AI compliance with data privacy and cybersecurity regulations, adapting practices as needed. 合規(guī)管理：確保人工智能符合數(shù)據(jù)隱私和網(wǎng)絡(luò)安全的法規(guī)，根據(jù)需要調(diào)整實(shí)踐方法。 4. Team Leadership: Build and lead a skilled AI team, fostering innovation and talent retention. 團(tuán)隊(duì)領(lǐng)導(dǎo)：建立和領(lǐng)導(dǎo)一支技術(shù)嫻熟的人工智能團(tuán)隊(duì)，促進(jìn)創(chuàng)新和留住人才。 5. AI Research & Innovation: Drive AI research and collaborate with institutions for cutting-edge advancements. 人工智能研究與創(chuàng)新：推動(dòng)人工智能研究，并與機(jī)構(gòu)合作進(jìn)行前沿技術(shù)的發(fā)展。 6. Technical Infrastructure: Define AI system architecture, focusing on data security and compliance. 技術(shù)基礎(chǔ)設(shè)施：定義人工智能系統(tǒng)架構(gòu)，注重?cái)?shù)據(jù)安全和合規(guī)性。 7. Project Management: Efficiently manage AI projects, adjusting to market dynamics. 項(xiàng)目管理：高效管理人工智能項(xiàng)目，根據(jù)市場(chǎng)動(dòng)態(tài)進(jìn)行調(diào)整。 8. Market Insights: Gather and analyze market insights, building strong AI industry relationships. 市場(chǎng)洞察：收集和分析市場(chǎng)洞察，建立強(qiáng)大的人工智能行業(yè)關(guān)系。 9. Intellectual Property Management: Safeguard intellectual property and respond to potential infringements. 知識(shí)產(chǎn)權(quán)管理：保護(hù)知識(shí)產(chǎn)權(quán)并應(yīng)對(duì)潛在的侵權(quán)行為。 10. Budget Oversight: Manage tech budget with local cost considerations in mind. 預(yù)算監(jiān)督：考慮本地的成本因素，管理技術(shù)預(yù)算。 11. Reporting & Communication: Provide regular updates to executives, investors, and authorities on tech initiatives. 報(bào)告與溝通：定期向公司高管、投資者等更新技術(shù)項(xiàng)目進(jìn)展情況。 12. Innovation Culture: Foster an innovative culture within the tech team, tailored to unique talent characteristics. 創(chuàng)新文化：在技術(shù)團(tuán)隊(duì)中培養(yǎng)創(chuàng)新文化，根據(jù)不同的人才特點(diǎn)進(jìn)行調(diào)適。 The Requirement 職位要求 1. Advanced degree in computer science, AI, or a related field. 計(jì)算機(jī)科學(xué)、人工智能或相關(guān)領(lǐng)域的高級(jí)學(xué)位。 2. Over 10 years of extensive experience in AI research and development 在人工智能研究與開發(fā)方面擁有超過10年的豐富經(jīng)驗(yàn)。 3. Strong leadership and team management skills. 出色的領(lǐng)導(dǎo)能力和團(tuán)隊(duì)管理能力。 4. Proficiency in AI programming languages. 精通人工智能編程語言。 5. In-depth knowledge of the AI ecosystem, regulations, and market dynamics. 深入了解人工智能生態(tài)系統(tǒng)、法規(guī)和市場(chǎng)動(dòng)態(tài)。 6. Excellent problem-solving and communication skills. 優(yōu)秀的問題解決能力和溝通能力。 NOTICE: Please provide profile in English and Chinese. 請(qǐng)?zhí)峁┠闹杏⑽暮?jiǎn)歷。