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Wabtec

Develops electric locomotives and digital solutions

Engineering Manager - Machine Vision Algorithms

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Electrical Engineering, Electronics Engineering, Artificial Intelligence, Data Science, or a related STEM discipline is required.
  • At least 8 years of experience in Machine Vision, Computer Vision, Image Processing, Machine Learning, or related areas is required.
  • At least 3 years of people leadership or technical team management experience is required.
  • Experience developing and delivering production-quality software solutions is required.
  • Strong experience with Python and modern software development practices is required.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Desired Qualifications

  • A master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or a related discipline is preferred.
  • 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.

About the Company

Wabtec

Develops electric locomotives and digital solutions

Wabtec provides transportation solutions by designing and producing electric locomotives and related services for freight railroads, transit authorities, and industrial operators. Its flagship product, the FLXdrive, is a 100% battery-electric locomotive with a battery pack over 7 megawatt-hours that cuts fuel use and emissions, while the company also sells traditional locomotives, aftermarket services, and digital solutions to optimize operations. Wabtec differentiates itself through a fully electric propulsion option paired with value-added digital tools and manufacturing techniques like mixed-reality work processes, aiming to improve efficiency and sustainability across rail networks. The company’s goal is to make rail transport more efficient and eco-friendly by delivering reliable locomotives, ongoing maintenance, and advanced software and digital capabilities that help customers run greener, lower-cost operations.

Company size
10,001+
Company stage
IPO
Headquarters
Pittsburgh, PA
Founded
1872

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