- Design, develop, and deploy robust AI models for real-world industrial visual inspection tasks.
- Collaborate with engineers and scientists to understand the specific needs and challenges of industrial visual inspection applications.
- Participate in R&D activities to develop and improve AI models for visual inspection, staying current on the latest advancements in the field.
- Leverage your understanding of optical systems to ensure optimal image capture for effective AI model training and deployment.
- Develop software applications using Python and C++/C# to interface with lighting controllers, cameras, and other hardware components for data acquisition.
- Integrate AI models with software applications to create a complete and functional visual inspection system.
- Train and validate AI models on real-world industrial datasets, ensuring high accuracy and performance.
- Continuously improve the performance and generalizability of AI models through data analysis and model optimization techniques.
- Document code, models, and systems effectively for maintainability and future reference