Computer Vision Engineer
1 week ago
Job Description
Wabtec provides vision-based wayside detectors for the rolling stock maintenance marke
t. Its non-contact measurement technology enables highly detailed condition assessment of train components-ranging from wheel surface condition to full train inspection-on trains operating in service and at high speeds. Wabtec's wayside systems and software applications and image analysis technology enable Train Operating Companies (TOCs) to manage fleet maintenance and operation through automatic measurements and inspections. Real-time alarms, alerts, and reports enable significant reductions in maintenance costs and increase fleet availability for revenue generation.
Role Overview:
We are seeking a skilled Computer Vision Engineer to design, develop, and optimize advanced image processing and deep learning solutions for real-time applications. The role involves working on cutting-edge camera and laser-based systems for accurate measurement and detection, with a focus on innovation, performance optimization, and seamless integration into production environments
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
Document methodologies, research findings, and code for knowledge sharing and reproducibility
Participate in code reviews and contribute to team-wide technical discussion
Requirements
Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field
Experience: 2+ years of hands-on experience in image processing, computer vision, and deep learning applications
Programming Skills: Proficiency in Python and MATLAB, with strong C++ development experience
Frameworks & Tools: 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
Excellent problem-solving skills, with the ability to work independently and collaboratively
Strong communication skills to effectively articulate complex technical concepts.
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