What You Will Be Working On
Conduct thorough technical due diligence on key AI technology providers and unbox technical details from articles, serving as a key resource for AI knowledge within the organization.
Lead the development of generative AI solutions, focusing on both software and hardware aspects. Collaborate with technical and domain experts to identify and develop early use cases and prototypes.
Contribute to ongoing AI initiatives including AI hardware benchmarking, agentic AI, and embodied AI projects.
Incorporate AI safety and trust considerations into AI development processes, ensuring responsible and ethical AI implementation.
Craft and eventually run grant programs for end-users' AI adoption. Support other grant programs aimed at growing the AI ecosystem in Singapore, encompassing technology providers' research and commercialization, and manpower development.
Facilitate and support AI workshops, events, and overseas trips to foster knowledge exchange and collaboration within the AI community.
What We Are Looking For
Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. PhD is preferred.
Strong AI literacy, with a solid understanding of generative AI principles and development practices.
At least a few years of hands-on experience in AI development, with demonstrated ability to build and deploy AI solutions in real-world scenarios.
Experience in AI safety and trust considerations, with the ability to integrate these aspects into AI development processes.
Familiarity with AI applications in various sectors, such as legal, healthcare, and others.
Experience in partnering with local research ecosystems and government agencies in technology-related projects.
Excellent analytical skills for conducting technical due diligence and interpreting research findings.
Strong communication skills, able to explain complex AI concepts to both technical and non-technical audiences.
Experience in grant program development or similar initiatives in the technology sector is a plus.
Proficiency in programming languages commonly used in AI development (e.g., Python) and familiarity with AI frameworks and tools.
Hands-on experience with AI hardware benchmarking, agentic AI, or embodied AI is highly desirable.
Only shortlisted applicants will be notified.
Position will commensurate with experience.
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