AI Vision Systems Engineer
SKILLS
FULL DESCRIPTION
Summary
Develop AI algorithms for computer vision tasks like object detection and segmentation, implement vision-based solutions for automation and robotics, optimize AI models for edge and real-time applications, test and deploy vision systems in industrial settings, and collaborate with cross-functional teams to integrate solutions.
Key Responsibilities:
- Develop AI algorithms for computer vision tasks like object detection and segmentation.
- Implement vision-based solutions for automation and robotics.
- Optimize AI models for edge and real-time applications.
- Test and deploy vision systems in industrial settings.
- Collaborate with cross-functional teams to integrate solutions.
Core Requirements/Qualifications/Skills:
- Proficiency in Python, OpenCV, and AI vision frameworks.
- Strong understanding of deep learning techniques for computer vision.
- Experience with GPUs and parallel computing for AI applications.
- Excellent analytical and teamwork skills.
- Bachelor’s or Master’s in AI, Computer Vision, or related field.
Responsibilities:
Develop AI algorithms for computer vision tasks like object detection and segmentation. Implement vision-based solutions for automation and robotics. Optimize AI models for edge and real-time applications. Test and deploy vision systems in industrial settings. Collaborate with cross-functional teams to integrate solutions.
Requirements:
Proficiency in Python, OpenCV, and AI vision frameworks. Strong understanding of deep learning techniques for computer vision. Experience with GPUs and parallel computing for AI applications. Excellent analytical and teamwork skills. Bachelor’s or Master’s in AI, Computer Vision, or related field.