AI Lead

at  SHANDA GROUP PTE LTD

ABOUT THE COMPANY

Shanda is a global private investment group founded in 1999 by Chinese online entertainment pioneer Tianqiao Chen and his family. Shanda primarily invests in two cutting-edge areas: disruptive technologies in their early stages and undervalued public companies with significant transformational potential. As entrepreneurial investors, we take pride in combining visionary foresight with commercial acumen while upholding a strong sense of social responsibility. Our corporate culture is built on a passion for learning and innovation, with a relentless pursuit of excellence.

JOB REQUIREMENTS

• PhD in Computer Science, Data Science, AI, Machine Learning, or a related field.
• Current or recent experience as an assistant professor in a university setting is highly desirable.
• Proficiency in programming languages such as Python, R, or Java.
• Deep understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
• Experience with big data technologies and cloud platforms.
• Strong strategic thinking and problem-solving abilities.
• Excellent communication and interpersonal skills.
• Ability to lead and inspire a diverse team of professionals.
• Bilingual, fluent in Chinese and English is a plus (as candidates need to liaise with Chinese/Mandarin speaking counterparts in China for job purposes).

PREFERRED QUALIFICATIONS

• Published research in reputable AI journals or conferences.
• Active participation in AI and data science communities.

• Develop and implement a strategic vision for AI initiatives in alignment with the company’s overall goals.
• Identify opportunities for AI to enhance business processes, products, and services.
• Oversee the entire lifecycle of AI projects, from initial concept through development, deployment, and monitoring.
• Ensure projects are delivered on time, within scope, and within budget.
• Build, lead, and mentor a high-performing AI team, fostering a culture of collaboration, innovation, and continuous improvement.
• Conduct performance reviews and provide ongoing coaching and development opportunities for team members.
• Stay abreast of the latest advancements in AI and machine learning technologies.
• Provide technical guidance and hands-on support to the team, ensuring the use of best practices and state-of-the-art techniques.
• Work closely with cross-functional teams, including product management, engineering, and marketing, to integrate AI solutions into products and services.
• Collaborate with external partners, vendors, and academic institutions to advance AI capabilities.
• Drive the research and development of new AI models and algorithms.
• Ensure the scalability, reliability, and efficiency of AI solutions.
• Oversee the collection, preprocessing, and analysis of large datasets.
• Ensure data quality, integrity, and security in compliance with relevant regulations.
• Implement robust metrics and monitoring systems to assess the performance and impact of AI solutions.
• Continuously evaluate and optimize AI models and processes.