Senior Professional Officer or Lead Professional Officer in Artificial Intelligence or Digital Innovation - IaaS Centre - 3353

Job description

Our client is actively searching for a Senior Professional Officer or Lead Professional Officer in Artificial Intelligence or Digital Innovation - IaaS Centre in to join their team!If you are a dynamic individual seeking a new career opportunity, read further!PurposeThe University’s Innovation-as-a-Service (IaaS) is an open-innovation platform designed to connect industry players, particularly start-ups and SMEs, with the research and technological capabilities of the University, local polytechnics, other IHLS and overseas university partners.IaaS Centre of Digital Innovation focusses on assisting company’s to digitalize their operations or products and implementing AI solutions using ready AI tools to ensure a fast implementation to market.Our client is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. Targeted to be ready in 2024, SIT’s centralised campus within the larger Punggol Digital District will feature a vibrant learning environment where academia and industry will be tightly integrated with the community. The university espouses an applied learning approach and offers degrees with a strong focus on science and technology. The faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy. The university’s pool of experts works with multi-disciplinary teams to drive the horizontal technology enablers required to support university’s strategic translational research. The Professional Officers Division (POD) houses a centralised pool of academic staff under the Professional Officers scheme. Professional Officers bring specialised and deep technical expertise developed through extensive industry experience. They provide a critical industry perspective to student learning and applied research, complementing the academic expertise of faculty by translating industry practices and real-world applications into the curriculum. The university is expanding its applied AI research capabilities, building a cohort of academic staff who are keen and experienced working on industry problems across sectors.Focus areas for applied AI include domains such as: Advanced Manufacturing & Semiconductors Urban Systems AI-Augmented Engineering AI Safety & Security Chemical Engineering & Biotechnology Hospitality and Tourism Healthcare The responsibilities of this role are:Lead or co-lead innovation projects with industry which includes SMEs, MNCs, government agencies.Work closely with centre head and internal/external stakeholders (including other IHLs) to support or drive applied research, and innovation initiatives outcomes. Outcomes include impact or revenue of industry partnersUnderstand industry partners requirements and help create proposals to them.Create IP (Intellectual Property) from internal grants to target multiple adoptersThe ideal candidate will need to have the following qualities and experience:A good Bachelor’s degree or Master’s degree in Computer Science, Engineering, or a related discipline, with demonstrated experience in Artificial Intelligence (AI) / Machine Learning (ML) research or application. A minimum of 8 years working experience in industry.Strong technical expertise in one or more of the following areas: Usage of AI tools or software to solve industry problems or enhance industry operationsComputer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI, Agentic AI, Physical AI, and Embodied AI Trustworthy AI, including explainability, auditability, and privacy Edge AI and model optimisation Time-series modelling and anomaly detection Digital twins and simulation Demonstrated Applied AI for Healthcare and clinical practice Industry 4.0 and/or Industry 5.0 (added advantage)Experience utilizing AI tools to one or more of Univeraity’s focus areas: Advanced Manufacturing & Semiconductors, Urban Systems, AI-Augmented Engineering, AI Safety & Security, Chemical Engineering & Biotechnology, AI for Healthcare as well as Hospitality & Tourism. Must have a firm grasp and understanding of data structures, data modeling and software architecture using Python, R, Java and C/C#/C++, as well as competence in mathematics including probability, statistics and algorithms.Demonstrate proficiency to keep abreast of developments in the field and pursue professional certification programs. Possession of industrial certifications in relevant areas will be an added advantageFor senior appointments, demonstrated managerial or team leadership experience may be required.