Found Description
Overview
To lead the development and deployment of advanced analytics and AI solutions to enhance and support public transport operations, asset reliability, maintenance optimization and commuter experience.
To serve as both a technical authority and business partner, translating data into actionable intelligence and measurable operational impact.
Responsibilities
- Lead the end-to-end lifecycle of Machine Learning (ML) and AI projects, from business problem definition, data exploration, feature engineering, model training, validation to deployment and performance monitoring.
- Develop and implement ML, AI or optimization models to address a range of business and operational challenges, such as improving performance, forecasting demand, optimizing resource utilization, enhancing reliability, or supporting better customer outcomes.
- Collaborate with data and software engineers to deploy ML/AI models in both air-gapped and cloud pro...