Experience Range: 36 years
About The Role
We are seeking a Computer Vision Engineer to design and implement vision-based solutions that power intelligent systems. You will work on algorithms and models that enable real-time image and video analysis for transportation and automation applications.
Key Responsibilities
- Develop and optimize computer vision algorithms for object detection, tracking, and recognition
- Implement deep learning models using Python, OpenCV, PyTorch, TensorFlow
- Collaborate with data engineers to prepare and process large-scale image datasets
- Deploy vision models in production environments with cloud and edge computing support
- Research emerging techniques in computer vision and apply them to product development
Required Skills
- Strong proficiency in Python and computer vision libraries (OpenCV, PyTorch, TensorFlow)
- Experience with image preprocessing, feature extraction, and model training
- Knowledge of deep learning architectures (CNNs, RNNs, Transformers)
- Familiarity with cloud deployment and MLOps practices
Preferred Qualifications
- Bachelor's/master's in computer science, AI, or related field
- Prior experience in Intelligent Transportation Systems (ITS) or automotive vision applications
Skills:- Python, PyTorch, TensorFlow, OpenCV, Computer Vision and CNNs
