AI Engineer (F/M) - Internship - End of studies job opportunity at QIMA.

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Date2025-12-08T04:32:50.408Z bot
QIMA AI Engineer (F/M) - Internship - End of studies
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Pattern: Full-time
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loacation Hong Kong, Hong Kong
loacation Hong Kong....Hong Kong
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Job DescriptionThe Role in BriefReporting 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 insightsAI/ML Solution Implementation: Work closely with business leaders and data scientists to understand user needs and transition AI/ML prototypes into production-ready solutionsFull-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 profileExperience level: Final-year engineering students looking for an end-of-studies internship, junior profiles (for 6 months).You have a genuine interest in building a career in Asia and see long-term opportunities in the region.You have recently completed a V.I.E. program, or are eager 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; proficiency in additional languages is a plus. 

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