• Microsoft Active Directory Administration
• System Backup Operation
• Endpoint Security Solutions
• Internet Firewall Technical Support
• Infrastructure
• Internet/ Intranet
• IT Security

Performing business analysis and assists project management on projects, but not limited to, Large Language Models (LLMs), Machine Learning (ML), Retrieval-Augmented Generation (RAG) and Computer Vision (CV) related systems for the Department

Seconded to our clients of public sector to perform the followings: 

• Design, develop, and test small-to-medium scaled LLM, ML, RAG and CV related systems (non-analytics scripting part) to meet business requirements;
• Maintain and patch front-end and back-end of the simple-to-medium-scaled LLM, ML, RAG and CV systems as a full-stack developer, with emphasis on the non-analytics scripting part of the system ONLY;
• Collaborate with cross-functional teams to integrate AI models into existing systems and applications;
• Design and implement data validation and reconciliation processes to ensure data quality and accuracy;
• Develop and maintain documentation for the system and integration processes;
• Support ongoing development and testing of AI models to ensure seamless integration into the developed systems;
• Evaluate and optimize user experience for effective presentation and operation of the system functions including, but not limited to, dashboards, forms, workflows, and tabulated data;
• Collaborate with data engineers to design and implement data storage and retrieval systems that support AI model training and testing processes;
• Assist and on-job training of procuring process for equipment and services required;
• Communicate and present the system developed for effective team communication;
• Embrace the chance to stay up-to-date and on-job training of emerging technologies and trends in data analytics, machine learning, and artificial intelligence;
• Assist as a business analyst of projects; 
• Collaborate and manage vendors and/or contractors for out-source development of innovative applications; and
• Ensure project deliverables to be on time and meet quality standard.

• Degree holder in Computer Science, equivalent or above;
• Minimum 5 years post-qualification IT experience with at least 2 years of experience in similar capacity
• SAdequate knowledge and experience in application systems using container deployment, such as Docker;
• Adequate knowledge and experience in application development using MEAN Stack and data integration systems, including, but not limited to, message queue and data cleansing services;
• Adequate understanding and, preferably, experience in data mining, business intelligence and machine learning applications and development;
• Strong commitment to project deadline and delivering high quality work;
• Creative, analytical, self-initiative, responsible and well-organized;
• Good knowledge and experience in system design and database design;
• Familiarity with Agile or DevOps methodologies;
• Familiarity with LLM and RAG technologies;
• At least 1-year hands-on experience on any type of SQL database (eg. MySQL, PostgreSQL, etc.);
• At least 1-year hands-on experience on NoSQL database or Vector Database;
• At least 3-year hands-on experience on Git commands and workflow;
• At least 1-year hands-on experience on CICD pipelines;
• Good communication skills in English and Cantonese;
• Good interpersonal relationship and emotion management;
• Experience in web application deployment procedures, source code version control, issues management is a plus; and
• Satisfactory result in the written test on the interview day (if necessary).

Interested parties please send detailed resume with present/expected salary to HR Department.

Address: Room 1202, 12/F, Harcourt House, 39 Gloucester Road, Wanchai, Hong Kong.

Tel: 2838-6813

Fax: 2838-6776

We are an equal opportunity employer and welcome applications from all qualified candidates. Personal data collected will be treated in strictest confidence and handled confidentially by authorized personnel for recruitment-related purposes within the Group. Applicants not hearing from us within six weeks from the date of advertisement may consider their applications unsuccessful.