Job Duties:

• To conduct system analysis, design, and implementation for AI infrastructure, including  integration with the Big Data Analytics Platform (BDAP), on-premise Large Language Models (LLMs), external API access, containerization, and migration of legacy workflows to AI-assisted automated processes.
• To support the development, configuration, and deployment of AI applications on shared platforms, including tools such as OpenWebUI, n8n, and RAGFlow.
• To implement monitoring tools and incident response procedures to ensure the secure and stable operation of AI platforms and applications.
• To design and implement comprehensive evaluation tools and frameworks to measure the accuracy, safety, bias and operational efficiency of deployed AI applications.
• To apply IT security best practices for AI infrastructure, including hardware (GPUs), platforms, and application-layer controls, to address AI-specific risks such as prompt injection and data leakage
• To provide technical support and documentation for advisory/consultancy services and assist in solution deployments to other Departments
• To research and evaluate emerging AI and Data Science technologies (e.g., AI Engineering, Agentic Workflows) and prepare technical reports on their potential integration into departmental systems.

Requirement Details:

• Higher Diploma or above
• At least 6 years’ experience in IT Application development  
•  Solid working experience as a Systems Analyst, AI/Data Engineer, or MLOps practitioner in the following areas:
•  AI & Big Data Infrastructure: Hands-on experience with cloud or on-premise AI platform operations, performance monitoring, and resource optimization; experience with MLOps practices and CI/CD pipelines; exposure to LLM deployment or fine-tuning in enterprise or government environments.
•  AI Application Development: Experience developing and deploying AI/ML solutions, including NLP pipelines, LLM fine-tuning, RESTful API integration, and text retrieval or search frameworks (e.g., Elasticsearch, vector databases, or RAG pipelines).
• IT Security & Governance: Experience applying security best practices within government or enterprise IT environments, including data privacy controls and secure API integration.
• Technical Collaboration & Support: Experience translating technical requirements into functional specifications, supporting cross-functional teams and external contractors across the full project lifecycle, from requirements definition through to QA.
• Government/Enterprise Project Experience: Experience working on HKSAR Government projects (preferred) or large-scale enterprise AI/Data Science projects.

If interested for the above position, please send detailed resume with current and expected salary as well as date of availability by sending email to ita@clts.com

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