AI Engineer (F/M) at QIMA

Hong Kong, Hong Kong Island, Hong Kong S.A.R. -

Full Time

Start Date

Immediate

Expiry Date

08 Mar, 26

Salary

0.0

Posted On

08 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, Machine Learning, Data Integration, System Integration, Performance Optimization, Code Quality, Process Improvement, Change Management, Problem Solving, Collaboration, Data Handling, User Training, Organizational Change, Scalability, Documentation, Business Analysis

Industry

International Trade and Development

Description

Company Description Brief We are seeking a motivated and detail-oriented individual to join our Inspection back-office team. The successful candidate will play a key role in analyzing our core back office processes, brainstorm/test/trial ideas, and implement solutions with our tech teams to enhance overall operations efficiency. Should embrace the company’s culture of teamwork, technology and innovation, and be able to work effectively with different teams/stakeholders in a fast-paced environment. The candidate will gain hands-on experience in a fast-paced, global company, and work closely with experienced professionals to better understand operations management, supply chain, and client support. This is an exciting opportunity for students or fresh graduates interested in management, operations, supply chain, or quality control. The Company QIMA is a Global Quality Control and Compliance Service Provider that partners with brands, retailers and importers around the world to secure, manage and optimize their internal supply chains. QIMA performs Supplier Audit Programs, Product Inspections and Lab Testing. Clients from over 120 countries worldwide benefit from web-based, mobile, friendly account management, fast scheduling and highly competitive all-inclusive pricing. Job Description The Role in Brief Reporting directly to the Director of Engineering, your responsibilities will include (but not limited to): Deliver AI powered solutions driving both internal efficiencies and new customer value through data insights AI/ML Solution Implementation: Work closely with business leaders and data scientists to understand user needs and transition AI/ML prototypes into production-ready solutions Full-Scale Model Deployment: Design, develop, and deploy scalable machine learning models and algorithms to solve complex business problems. Data Integration: Ensure efficient collection and integration of data from diverse sources for training and validation of AI models. System Integration: Collaborate with tech teams to integrate AI/ML solutions seamlessly into existing systems and enhance data collection processes. Performance Optimization: Continuously monitor and optimize model performance to ensure responsiveness and scalability. Code Quality and Maintenance: Write clean, maintainable, and well-documented code, ensuring best practices in software development. Process Improvement: Leverage AI/ML to identify opportunities for process improvement and contribute to strategic projects aimed at enhancing business performance and competitiveness. Change Management and Adoption: Ensure successful adoption of AI/ML solutions by managing organizational change, assisting with user training, and conducting follow-up post implementation to support users and address any issues Your profile We are currently hiring for two positions and welcome candidates who meet the following: Experience level: From junior profiles to candidates with up to 5 years’ relevant professional experience. You have recently completed a V.I.E. program or wish to undertake one. Solid understanding and practical experience with AI/ML technologies, data handling, and system integration. Strong problem-solving skills, with the ability to work collaboratively in a multicultural and fast-moving environment. Fluent in English; additional languages are a plus.

Responsibilities

The AI Engineer will deliver AI-powered solutions to enhance internal efficiencies and customer value through data insights. Responsibilities include implementing AI/ML solutions, deploying scalable models, and optimizing performance.