Responsibilities

  • Provides data exploration with raw weather attributes, like wind speed, humidity, rainfall, and able to the find and explore underlying relations among various weather attributes.
  • Maintain and improving existing machine learning and deep learning models for various weather attributes, wind, temperature, rainfall, lightning, etc.
  • Develop and adapt advanced computer vision and state-of-the-art deep learning techniques for weather parameter nowcasting, e.g., rainfall, wind, lightning, temperature etc.
  • Provide technical support for business development team to successfully execute R&D projects and continue to grow our business.

Requirements

  • Have passion about data and data science
  • MS or PhD in computer science, applied mathematics, electrical engineering or related technical discipline.
  • 3-5 years working experience of designing and building advanced machine learning models to solve business problems, including but not limited to, typical regression tasks, image classification, object detection, etc.
  • Strong scientific programming skills in Python.
  • Practical experience with deep learning framework, including PyTorch, Tensorflow.
  • Proficiency in coding in Linux environment and is able to write bash script.
  • Experience collaborating within research teams to develop advanced research concepts, prototypes, and systems.
  • Good communication, presentation skills and ability to collaborate and learn from others.