- Development of algorithms using Machine Learning for transformer monitoring data analysis, including trend analysis, abnormal condition alert and performance prediction.
- Machine learning development to predict transformer performance (impedance, loss and temperature) from design parameters and test data.
- Image recognition from transformer pictures to identify defects or abnormal condition
- Deployment of developed algorithm into application, platform building, data pipeline setup, full stack software development and link with commercial machine learning platform.
- 5 years minimum experience in machine learning, data mining, image recognition and full stack programming in industrial setting.
- Knowledge of status of art machine learning algorithms, open-source models and commercial services.
- Full stack software development experience, Experience of building data pipeline and machine learning platform from scratch
- Self-motivated, creative fast-learner.