AI & Railway Signalling

• Develop and implement AI-based solutions for railway signaling and control systems.
• Work on special projects involving predictive maintenance, anomaly detection, and operational optimization.
• Analyze signaling data (track circuits, point machines, signals, interlocking logic) to derive actionable insights.
• Collaborate with system engineering teams to integrate AI models into existing signaling infrastructure.
• Design and validate algorithms for safety-critical railway applications.
• Support testing, commissioning, and validation of Electronic Interlocking systems.
• Prepare technical documentation, design reports, and performance analysis.
• Ensure compliance with Indian Railways standards and safety requirements.

Desired Skills:

• Bachelor’s or master’s degree in Electronics, Electrical, Computer Science, or related field.
• 3–8 years of experience in railway signaling projects.
• Strong understanding of Indian Railways signaling concepts, including Interlocking principles, Route setting logic, Track circuits and point detection
• Hands-on experience with Electronic Interlocking (EI) systems.
• Knowledge of signaling standards, safety protocols, and fail-safe design principles.
• Experience in AI/ML frameworks (Python, TensorFlow, PyTorch, etc.).
• Strong programming skills in Python and/or C/C++.
• Experience in data analysis, model development, and deployment.
• Familiarity with Predictive analytics, Computer vision or anomaly detection (preferred) and Edge computing or embedded systems (added advantage)
• Experience working on Indian Railways or metro signaling projects.
• Exposure to digital twins, IoT-based monitoring, or smart rail solutions.
• Experience with system integration and testing in safety-critical environments.
• Problem-solving mindset with innovation focus
• Strong analytical and debugging skills
• Ability to work on cross-functional and special projects
• Good communication and documentation skills
  • Understanding of safety-critical system development