Assistant IT Manager

Job Responsibilities

Applications are invited for appointment as Assistant IT Manager (Ref.: 104232), to commence as soon as possible, on a fixed-term basis, with the possibility of renewal subject to satisfactory performance and mutual agreement.

The appointee is expected to provide day-to-day end-user technical support (both software and hardware) and troubleshooting services to researchers and admin team of the R&D Centre. / will be responsible for providing IT technical/audio-visual support to Centre’s events and should be familiar with video conference solutions (Microsoft Teams and Zoom). The successful candidate will be required to:

• IT Infrastructure & Systems Management: Oversee, maintain, and optimize core IT infrastructure—including but not limited to office IT assets, Linux servers, internal network, VPN/SSH, Microsoft 365, NAS, cloud resources, and comprehensive backup and disaster recovery environments.
• Technical Support & Operations: Troubleshooting, day-to-day IT support, and technical consultation to researchers and administrative staff, ensuring minimal downtime and seamless operations.
• Cybersecurity & Compliance: Implement and enforce cybersecurity controls, vulnerability management, endpoint protection, identity and access management (IAM), and robust data privacy policies.
• AI Infrastructure & Training: Partner with research teams to provision, manage, and optimize the high-performance computing (HPC) infrastructure for training, fine-tuning, and maintaining in-house AI models.
• Production AI Applications: Lead the deployment, integration, and operational support of production-grade AI applications.
• *Web***site and Application Management:**Oversee website operations, and drive the development and maintenance of in-house applications.
• Event & AV Support: Coordinate technical requirements for Centre events, seminars, scientific meetings, and hybrid video conferencing platforms (e.g., Microsoft Teams, Zoom).
• Stakeholder Engagement & Documentation: Act as the primary liaison with internal teams and external vendors, while producing clear user training materials and technical documentation.
• General Duties: Undertake other ad-hoc IT projects and duties as assigned by management.

Qualifications and Skills

• Education & Experience: Hold a Master’s degree or higher in Computer Science, Artificial Intelligence, Data Science, or a related discipline, with at least 8 years of relevant professional experience—including a minimum of 3 years in a supervisory capacity. Prior experience within an R&D or biomedical research environment is a strong advantage.
• AI & Infrastructure Engineering: Demonstrate hands-on experience provisioning, managing, and optimizing high-performance computing (HPC) environments, GPU clusters are required.
• AI Applications & Production Systems: Practical expertise in designing, deploying, and supporting production-grade AI platforms, intelligent agents, and AI orchestration and harness system. Comprehensive understanding of ReAct agent loop is required.
• Technical Stacks: Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow), alongside solid working knowledge of vector databases, enterprise foundation models (open-source and commercial), and cloud-based AI deployment tools like Docker. Knowledge of web and application development technologies such as PHP, Laravel, JavaScript, HTML5, CSS3, SQL, and RESTful APIs is desirable.
• Core IT & Systems Management: Expertise in enterprise-level IT infrastructure administration, cybersecurity protocols, cloud resources, backup/disaster recovery, and full-stack application development.
• Leadership & Collaboration: Strong communication and project management skills, effectively communicate with internal and external stakeholders.

How to apply:

Applicants should submit their up-to-date C.V. and research publication list (where applicable), quoting the job reference number, with information of current/expected remuneration and availability, to [email protected].

Review of applications will commence as soon as possible or until the posts are filled, whichever is earlier.

The personal data provided in your application process will be used for recruitment and other employment-related purposed. The personal data may be transferred and disclosed to, and used by HKU Innovation Holdings Limited and The University of Hong Kong for the above purposes.

We are an equal opportunities employer and welcome applications from all qualified candidates.