Engineering Manager – Machine Vision Algorithms

Job Description About Wabtec Corporation Wabtec Corporation is a global leader in rail technology, delivering innovative equipment, systems, and digital solutions that drive progress in freight and transit rail. With a legacy spanning nearly four centuries and a workforce of 27,000 worldwide, Wabtec is committed to shaping the future of transportation through technology, performance, and customer focus. Learn more at wabteccorp.com Position Summary As the Engineering Manager, Machine Vision Algorithms, you will lead a team of computer vision, machine learning, and software engineers responsible for developing and sustaining algorithm solutions for Wabtec's Wayside Monitoring portfolio. Working closely with the US-based Senior Manager responsible for the overall Machine Vision Algorithms (MVA) organization, you will drive execution of the technical roadmap, build engineering capability within the Bangalore team, and ensure high-quality delivery of machine vision and AI solutions. This role requires a hands-on technical leader who can manage a team, collaborate across global engineering organizations, and drive development of scalable machine vision and machine learning solutions that deliver customer value. The position is based in Bangalore and serves as a key extension of the global MVA leadership team. Key Responsibilities Team Leadership & People Development Lead, mentor, coach, and develop a team of machine vision, AI/ML, and software engineers located in Bangalore. Foster a culture of innovation, collaboration, accountability, and continuous improvement. Support hiring, onboarding, performance management, and career development activities. Build technical competency and leadership capabilities within the team. Partner with global engineering leaders to ensure effective resource planning and talent growth. Technical Leadership Drive execution of the Machine Vision Algorithms roadmap established by the global engineering organization. Provide technical leadership for computer vision, image processing, artificial intelligence, and machine learning initiatives. Lead the development and deployment of image processing, computer vision, and AI/ML solutions for wayside monitoring applications. Guide engineers in problem definition, system architecture, algorithm development, testing, optimization, and deployment. Drive data collection, validation, model training, performance evaluation, and continuous improvement activities. Participate in architecture reviews and technical design discussions to ensure solutions are scalable, reliable, maintainable, and aligned with product requirements. Partner with global engineering and product teams to deliver production-ready AI/ML solutions. Contribute to MLOps, model governance, and engineering best practices. Product Development & Execution Collaborate with Product Management, Architecture, Program Management, and Systems Engineering teams to deliver product commitments. Translate business and customer requirements into engineering tasks and project plans. Drive timely execution of software and algorithm development activities. Improve engineering productivity through automation, common frameworks, component reuse, and best practices. Support release planning, effort estimation, risk management, and issue resolution. Quality & Engineering Excellence Ensure compliance with Wabtec engineering processes, RAILS requirements, cybersecurity standards, and quality expectations. Promote software engineering best practices including CI/CD, automated testing, code reviews, and documentation. Monitor engineering metrics and proactively address quality, reliability, and delivery challenges. Drive root cause analysis and corrective actions for product and process issues. Global Collaboration Partner closely with the US-based Senior Manager of Machine Vision Algorithms and other global engineering leaders. Collaborate effectively across distributed teams in North America, India, and other regions. Participate in technical reviews, release planning, and strategic engineering discussions. Provide status updates, technical recommendations, and execution visibility to leadership. Basic Qualifications Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Artificial Intelligence, Data Science, or related STEM discipline. 8+ years of experience in Machine Vision, Computer Vision, Image Processing, Machine Learning, or related areas. 3+ years of people leadership or technical team management experience. Experience developing and delivering production-quality software solutions. Strong experience with Python and modern software development practices. Preferred Qualifications Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or related discipline. Experience with OpenCV, TensorFlow, PyTorch, ONNX, or equivalent machine vision frameworks. Knowledge of image segmentation, object detection, classification, camera ca