• Traditional ML or DL knowledge.
• Programming Language: python or spark lib experience.
• Experience in deploying the model to production end to end or understanding towards it.
• Nice to have a geometry knowledge and understating towards spatial algorithms like OPTICS, DBSCAN, Kernel density functions using kernels like square or gaussian,, how to determine spatial relationships between data points, geographically weighted algorithms.
• ML libraries mentioned: Python, Scikit learn, Tensor flow, Pytorch, Spark MLib.
• Problem types: Text, Image.