Strong background in multiple data science areas, such as math/statistics, machine/deep learning, data management, or databases.
Experience with SQL, R, Python and deep knowledge of relational databases and methods for efficiently retrieving data
Expertise in image processing, image classification using CNN (Convolutional neural network), SVM (Support Vector Machines), etc.
Experience in machine learning techniques used for Industrial Inspection like Semantic Segmentation.
Experience in open source libraries such as TensorFlow and OpenCV.
Experience in real time object detection techniques like YOLO
Experience in GPU programming like CUDA/OpenCL programming
Experience in Matlab
Experience with Angular
Experience in Agile Development process.