AI Engineer

• Develop and fine-tune AI models tailored to the specific requirements of semiconductor inspection, emphasizing accuracy, reliability, and defect detection precision
• Design and implement intuitive user interfaces (UI), APIs, and microservices to facilitate seamless integration and efficient communication within AI-driven applications
• Conduct debugging, troubleshooting, and basic system optimizations to maintain software stability, performance, and responsiveness under production conditions
• Document technical processes and provide regular progress updates to ensure transparency and alignment with project goals
• Implement advanced techniques to enhance model accuracy, robustness, and generalization for semiconductor inspection
• Analyze AI results, interpret production data trends, and recommend actionable improvements to optimize defect detection and reduce false positives
• Build and maintain scalable machine learning operations or software automation pipelines to automate AI-related processes, ensuring consistency and efficiency
• Collaborate with cross-functional teams, to integrate AI solutions into semiconductor production workflows
• Evaluate emerging tools and methodologies, proposing enhancements to existing system based on industry best practices and performance metrics
• Execute additional tasks as assigned by supervisors, contributing to team objectives and operational needs

Job Requirements

• Bachelor’s degree or Master’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence or related field
• Proficiency in Python programming and foundational knowledge of AI and machine learning frameworks
• Understanding of AI modeling techniques, such as supervised and unsupervised learning, and familiarity with software development practices
• Strong problem-solving abilities with an aptitude for analyzing datasets and troubleshooting technical issues
• Proficiency in developing APIs, microservices, or scalable software solutions, with knowledge of machine learning operations is an advantage
• Proficiency in computer vision, data preprocessing, image analysis, or deep learning framework is an advantage
• Strong analytical mindset and ability to collaborate effectively in a team environment, with clear communication
• At least 1 to 2 years of relevant working experience is preferred