1. Computer Vision Model Development
• Design, develop, and optimize advanced computer vision and deep learning models for industrial applications such as defect detection, classification, and process control.
• Apply state-of-the-art algorithms and continuously improve model performance through validation, tuning, and retraining.
• Drive the transition of models from proof-of-concept to production-ready solutions. 2. Data Engineering & Pipeline Management
• Own the end-to-end data lifecycle, including acquisition, annotation, preprocessing, and dataset management.
• Ensure data robustness and quality under real industrial conditions (., lighting, materials, positioning variability).
• Collaborate on scalable data and deployment pipelines supporting efficient training and inference. 3. Industrial Deployment & System Integration
• Deploy computer vision models into real-time industrial systems integrated with production lines and automation equipment.
...