*職位簡述Purpose
The Deployment Engineer will be instrumental in the development and implementation of advanced computer vision solutions, robotic process automation and generative AI technologies within our semiconductor assembly factory. This role aims to enhance manufacturing efficiency, improve quality control, and drive automation processes, leveraging cutting-edge technologies to optimize production workflows.
*主要義務和職責Responsibilities
1. System Development:
a. Design, develop, and deploy CV and RPA algorithms and systems to semiconductor assembly quality control and automation.
b. Develop and integrate generative AI models to generate, simulate, or optimize manufacturing processes.
2. System Quality Assurance:
a. Implement real-time image analysis systems to detect, classify, and track defects in semiconductor components and assemblies.
b. Utilize AI techniques to analyze data and provide predictive insights for quality assurance.
3. Data Analysis and Model Training:
a. Analyze visual and operational data to identify trends, patterns, and areas for improvement in manufacturing processes.
b. Train and optimize machine learning models using extensive datasets to enhance accuracy and performance.
4. System Integration:
a. Integrate computer vision and AI solutions with existing manufacturing systems and platforms to ensure seamless operation.
b. Collaborate with hardware engineers to ensure compatibility and robustness of computer vision setups.
*教育背景Education
Master’s degree in computer science, Electrical Engineering, Robotics, AI, or a related field.
*知識Knowledge
Proficient in programming languages such as Python, C++, or Java relevant to computer vision and AI applications.
Experience with computer vision libraries (e.g., OpenCV, TensorFlow, Keras) and generative AI tools (e.g., GANs, VAEs).
Understanding of machine learning algorithms, especially in image processing and automated decision-making.
*相關工作經(jīng)驗Experiences:
Experienced candidates, Semiconductor Engineering working experience is a plus.
5+ years of experience in computer vision applications and Gen-AI development or a related field. Familiarity with generative AI frameworks and methodologies Relevant certifications in computer vision, artificial intelligence, or machine learning (AWS Certified Machine Learning, Google AI certification) are a plus.