Senior Professional Officer (& Above) in Artificial Intelligence / Digital Innovation (IaaS Centre)
Purpose
SIT’s Innovation-as-a-Service (IaaS) is an open‑innovation platform that connects industry players (particularly start‑ups and SMEs) with research and technical capabilities from SIT, local polytechnics, and overseas partners. The IaaS Centre of Digital Innovation helps companies digitalise operations or products and implement AI solutions using ready tools, ensuring fast market implementation.
Key Responsibilities
- Lead or co‑lead innovation projects with industry including SMEs, MNCs and government agencies.
- Work closely with the centre head and internal/external stakeholders (including other IHLs) to support or drive applied research and innovation initiatives.
- Deliver outcomes that create impact or revenue for industry partners.
- Understand partner requirements and help create proposals.
- Create intellectual property from internal grants that can be adopted by multiple stakeholders.
Job Requirements
- A good Bachelor’s 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.
- Minimum eight years of industry experience.
- Strong technical expertise in one or more of the following areas:
- Usage of AI tools or software to solve industry problems or enhance operations
- Computer 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
- Applied AI for Healthcare and clinical practice
- Industry 4.0 and/or Industry 5.0 (added advantage)
- Experience utilizing AI tools in SIT’s focus areas: Advanced Manufacturing & Semiconductors, Urban Systems, AI‑Augmented Engineering, AI Safety & Security, Chemical Engineering & Biotechnology, AI for Healthcare, and Hospitality & Tourism.
- Firm grasp of data structures, modeling, and software architecture using Python, R, Java, and C/C#/C++; competency in mathematics including probability, statistics, and algorithms.
- Proficiency in keeping abreast of developments and pursuing professional certification programs. Industrial certifications are an added advantage.
- For senior appointments, demonstrated managerial or team leadership experience may be required.