• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Understand the high level problem and provide set of solutions to solve it using machine learning or otherwise
• Develop ready-to-use production grade geospatial AI models, tools, and solutions
• Integrate ArcGIS with popular deep learning libraries such as PyTorch/Fast.ai or TensorFlow/Keras
• Develop APIs and model architectures for computer vision, natural language processing or 3D deep learning applied to geospatial datasets