Centre For Oncology And Immunology Limited
Assistant IT Manager
- Compensation
- Not disclosed
- Location
- Hong Kong SAR
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 3+ years
- Category
- Devops
- Posted
Skills
Must have
- 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—
- 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. Comprehens
- 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 co
- 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.
- Candidates with less experience would be considered for IT specialist position.
Full description
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.
Required
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.
- Website 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.