Sales Manager/Senior Sales Executive - AI & Big Data Analytics, High Performance Computing

Job description 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 platf...orms, 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.

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