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 and 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.

- Solid 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 calibration, feature extraction, and image enhancement techniques.

- Experience with cloud platforms and containerized deployments using Docker and Kubernetes.

- Familiarity with MLOps, model lifecycle management, and CI/CD pipelines.

- Experience developing AI/ML solutions for industrial, transportation, manufacturing, or predictive maintenance applications.

- Knowledge of rail industry technologies, wayside monitoring systems, or industrial inspection solutions is preferred.

- Strong analytical and problem-solving skills.

- Excellent verbal and written communication skills.

Leadership Competencies

- Strong technical coaching and mentoring capabilities.

- Results-oriented leader who drives execution and accountability.

- Effective collaborator in a globally distributed organization.

- Ability to balance technical depth with people leadership responsibilities.

- Customer-focused mindset with a passion for quality and innovation.

- Continuous learner who embraces new technologies and industry trends.

📌 Engineering Manager Machine Vision Algorithms (Bengaluru)
🏢 Wabtec
📍 Bengaluru