Computer Vision Engineer

Responsibilities: — Develop, train, and optimize deep learning models for image analysis — Evaluate and extend existing model architectures — Improve accuracy, performance, and robustness — Work with image datasets including processing, augmentation, and evaluation — Experiment with architectures and training approaches — Solve hard technical problems and iterate on production computer vision systems Requirements: — At least 3 years of hands-on experience in computer vision and model development or equivalent documented experience — Experience building, training, evaluating, and optimizing deep learning models for images — Solid understanding of computer vision architectures such as CNNs and Vision Transformers — Strong proficiency in Python — Practical experience with PyTorch or TensorFlow — Experience with real-world image datasets including preprocessing, augmentation, and evaluation — Ability to adapt and extend existing models based on clear technical requirements — Portfolio of projects, repositories, or results demonstrating capabilities Nice to have: — Experience with Edge AI and running models on edge or embedded devices — Skills in optimization for limited compute environments such as quantization and inference performance — Experience in real-time image or video analysis Benefits: — Opportunity to work on production computer vision with real impact — Platform already in production to improve — Ability to influence architecture and methods — Challenging problems where precision, robustness, and performance are critical