About this role
[What the role is] This is an 11-month contract position as a Project Engineer in the School of InfoComm Technology.
The Project Engineer supports the AI and Digitalisation Centre (AIDC) by developing and maintaining internal AI, automation, software, systems-integration and digitalisation capabilities. The role focuses on building reusable prototypes, technical assets, demonstration platforms and internal digital tools while supporting technology research, testing, documentation and technical implementation. [What you will be working on] Your responsibilities will include, but are not limited to, the following:
• Develop and maintain AI, automation, software, systems-integration and digitalisation solutions for the AI and Digitalisation Centre (AIDC). • Build reusable technical assets, proof-of-concept templates, demonstration systems, workflow automations, dashboards, API connectors and deployment patterns for future use. • Conduct technical research, feasibility studies, testing, benchmarking and experimentation on relevant AI and digitalisation technologies. • Support AIDC internal digitalisation including workflow automation, knowledge management, document processing, enquiry tracking, reporting and operational tools. • Maintain AIDC development, test and demonstration environments including technical documentation, code repositories, system configurations and implementation guides. • Support technical planning, issue tracking, quality testing and continuous improvement for internal AIDC initiatives. • Provide limited early-stage technical input for opportunity exploration, including demonstrations, high-level feasibility assessments and non-binding solution concepts.
[What we are looking for]
• Diploma or Degree in Computer Science, Information Technology, Software Engineering, Computer Engineering, Artificial Intelligence, Data Science, or a related discipline. • At least 1 year of relevant hands-on experience in software development, systems integration, automation, digitalisation, AI-enabled solutions or technical project implementation. • Proficiency in at least one programming or scripting language, such as Python, JavaScript/TypeScript, Go, Java, or equivalent. • Familiarity with developing web applications, APIs, databases, workflow automations, dashboards, cloud services or on-premises systems. • Basic knowledge of AI and generative AI concepts. • Familiarity with Git-based version control, testing, technical documentation, issue tracking and deployment practices. • Ability to analyze operational needs and translate them into practical technical solutions. • Strong analytical, troubleshooting, documentation, communication and problem-solving skills. • Demonstrates initiative, adaptability, attention to detail and a willingness to learn and experiment with emerging technologies. Advantageous Requirements, Preferred but not a need
• Experience with Docker, Linux, cloud platforms such as AWS or Azure, networking, authentication, access control and data-security practices. • Experience with deploying or integrating AI applications, APIs, databases, cloud services and enterprise systems. • Familiarity with DevOps, CI/CD, containerization, system monitoring or infrastructure-as-code practices. • Experience developing proof-of-concept systems, technical demonstrations, automation workflows, IoT applications, dashboards, computer-vision solutions, or internal digital tools. • Experience supporting technical projects from planning and prototyping through testing, documentation, deployment and handover • Possession of or progress towards a recognized project-management certification such as Project Management Professional (PMP), Certified Associate in Project Management (CAPM), Scrum Master or an equivalent certification.