AI Engineer - Internship

qima· Inspection
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About this role

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

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
  • 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
  • The 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

If you are a motivated student or fresh graduate excited to kickstart your career in supply chain and operations, apply now with your CV in English. Join QIMA and help us create a high-performing team dedicated to excellence!

Frequently Asked Questions

Is the salary disclosed for the AI Engineer - Internship position at qima?
The salary for this AI Engineer - Internship role at qima is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the AI Engineer - Internship position at qima located?
This AI Engineer - Internship role at qima is based in Cebu City, Cebu City, Central Visayas, Philippines, Central Visayas, ph. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the AI Engineer - Internship role at qima full-time or part-time?
This is listed as a Intern position. It is posted as a AI Engineer - Internship role in the Inspection department at qima.
Which team or department does the AI Engineer - Internship at qima belong to?
This AI Engineer - Internship position is part of the Inspection department at qima. See the full job description for more information about the team structure and responsibilities.
How do I apply for the AI Engineer - Internship position at qima?
Click the "Apply Now" button on this page. You will be redirected to qima's official application portal hosted on smartrecruiters where you can submit your application directly.
When was the AI Engineer - Internship job at qima posted?
This AI Engineer - Internship position at qima was posted on Aug 27, 2026. Apply as soon as possible — early applications are often reviewed first.
AI Engineer - Internship
qima
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