AI / Computer Vision Engineer
4 days ago
Key Skills
- Role: Develop and optimize computer vision models for object detection, segmentation, depth estimation, and real-time edge deployment.
- Strong proficiency in Python and deep learning frameworks such as TensorFlow and PyTorch
- Experience with OpenCV and image processing techniques
- Familiarity with model optimization techniques like pruning, quantization, and deployment on embedded/edge devices
- Knowledge of 3D vision, depth sensors, and point cloud processing is a plus
- Understanding of machine learning algorithms, CNNs, GANs, and neural network architectures
- Good software engineering practices including version control (Git) and collaborative development
- Strong problem-solving skills and ability to work with cross-functional teams
Job Profile
- Design, implement, and optimize computer vision and AI algorithms for industrial applications
- Process and analyze visual data from cameras and depth sensors
- Collaborate with hardware and software engineers to integrate solutions for edge devices
- Develop and maintain software pipelines for data collection, annotation, training, and deployment
- Evaluate and improve model performance under real-world constraints
- Create technical documentation and present findings to stakeholders
- Stay updated on the latest research and trends in computer vision and AI
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