The Role in Brief
Reporting directly to the Director of Engineering, your responsibilities will include (but not be 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.
- Champion an AI-first mindset by promoting the use of AI tools and technologies in day-to-day operations, encouraging experimentation and adoption of AI-driven solutions to improve efficiency, strengthen processes, and elevate service quality.
Qualifications
Do you have the skills and attitude we're looking for? We are seeking motivated candidates with:
- Enrollment in or recent completion of a bachelor's degree (Engineering, IT/Technology, Quality, Operations Management, Supply Chain Management, or related disciplines).
- Proficiency in English (spoken and written); Mandarin is a plus, but not required.
- Genuine interest in consumer goods, supply chain, quality control, or operations — a plus.
- Strong IT skills and comfort using digital tools/platforms.
- Ability to thrive under pressure in a fast-paced work environment.
- Proactive mindset, eagerness to learn, and readiness to take on new challenges.
- A genuine enthusiasm for Artificial Intelligence and its practical applications in operations, quality control, or client management; experience leveraging AI tools to improve productivity and decision-making is a strong plus.
Additional Information
Why Join QIMA?- Be part of a globally recognized leader in quality assurance with a vibrant, multicultural workforce.
- Gain hands-on experience in operations, management, and process improvement.
- Develop your professional skills and grow your network within the supply chain industry.
- Contribute to impactful projects and help shape QIMA's operational excellence.
- ✈️ Flight tickets covered by the company (round trip).
- 🛂 Visa fees fully covered by the company.
- 🌍 An international assignment with a truly global company.
- 💡 Exposure to cutting-edge AI/ML projects with real business impac
