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, brai…
Skills: AI/ML Solution Implementation, Model Deployment, Data Integration, System Integration, Performance Optimization
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, brai…
Skills: AI/ML Solution Implementation, Machine Learning Model Deployment, Data Integration, System Integration, Performance Optimization
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, brai…
Skills: AI/ML Solution Implementation, Machine Learning Model Deployment, Data Integration, System Integration, Performance Optimization
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Internship
bachelor degree
Posted 51d ago
~40 hrs/week
Responsibilities
The role involves developing and deploying scalable AI/ML solutions to improve internal operational efficiencies and customer value. Responsibilities include integrating data from diverse sources, optimizing model performance, and promoting an AI-first mindset across the organization.
Requirements
Candidates should be current students or recent graduates with a degree in Engineering, IT, Operations, or a related field. Proficiency in English and a strong enthusiasm for applying AI tools to supply chain and quality control processes are required.
Full job 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
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!
QIMA is more than a testing, inspection, certification, and compliance company: We are on a mission to offer clients smart solutions to make products consumers can trust.
With a global reach spanning 100+ countries, QIMA serves the consumer products, food and life sciences industries, supporting more than 30,000 brands, retailers, manufacturers, pharma labs and food growers.
The company combines on-the-ground expertise with digital solutions to bring accuracy and visibility for quality, safety and compliance data.
What sets QIMA apart is its unique culture: 6,000 employees live and make decisions every day by the QIMA Values. With client passion, integrity, and a commitment to making things simple, QIMA continues to disrupt the Testing, Inspection and Certification industry.
Offices: 3/F, Liven House No. 61 – 63 King Yip Street, Hong Kong, Kwun Tong -, HK · 100, rue de l'université, Paris, Ile-de-France 75007, FR · 48-49 St James Street, London, - SW1A 1JT, GB · Henri Dunant, 17, Madrid, - 28046, ES · 352 Sonwil Dr, Buffalo, New York 14225, US
certificationcsrsustainabilityfood safetyesgtraceabilitylife sciencescontract research outsourcingquality controlproduct testing
How many Data & Analytics jobs are open in City of Cebu, Philippines right now?
There are currently 27 open data & analytics positions in City of Cebu, Philippines listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in City of Cebu, Philippines?
Companies currently hiring include QIMA, EXL, CallTek, Virtual Business Partners LLC, Evolution, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in City of Cebu, Philippines?
Yes — 7 of the 27 open data & analytics positions offer remote or hybrid work (3 remote, 4 hybrid).
How do I apply for Data & Analytics jobs in City of Cebu, Philippines?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.