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AI Engineer (F/M) - Internship - End of studies

External
Qima logoQima · Hong Kong, Hong Kong
Full-timeOn-site6mo ago
Machine LearningPerformance OptimizationProcess Improvement
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About the role

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 Experience 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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