Wabtec is seeking a Computer Vision Engineer to design, develop, and optimize advanced image processing and deep learning solutions for real-time applications on their vision-based wayside detectors for the rolling stock maintenance market. The goal is to improve condition assessment of train components, reduce maintenance costs, and increase fleet availability.
Requirements
- Proficiency in Python and MATLAB, with strong C++ development experience.
- Experience with OpenCV, PyTorch, TensorFlow, and related ML/DL libraries.
- Strong understanding of deep learning techniques and algorithm design tailored for computer vision.
- Familiarity with unsupervised learning methods is a plus.
- Experience with point cloud data processing is an advantage.
- Knowledge of MLOps/DevOps workflows and best practices is preferred.
- Experience with cloud platforms (AWS, Azure, or GCP) is a plus, with preference for AWS.
Responsibilities
- Design, implement, and optimize computer vision algorithms using Python, MATLAB, and C++ for real-time performance.
- Develop state-of-the-art solutions combining traditional image processing and deep learning for accurate rail component detection and measurement.
- Research and apply new techniques in deep learning, unsupervised learning, and computer vision to enhance accuracy and efficiency.
- Collaborate with cross-functional teams to integrate vision solutions into existing systems.
- Conduct performance analysis, profiling, and optimization to meet high-speed processing requirements.
- Develop prototypes and proof-of-concept projects to validate new technologies.
- Stay current with emerging trends in AI, computer vision, and image processing, and contribute innovative ideas to the team.
Other
- 2+ years of hands-on experience in image processing, computer vision, and deep learning applications.
- Excellent problem-solving skills, with the ability to work independently and collaboratively.
- Strong communication skills to effectively articulate complex technical concepts.
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
