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.
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