Machine Learning / Deep Learning Expert

Minimal requirements:
– At least an MSc (research track only) in the fields of Computer Science, Electrical Engineering, Mathematics, Statistics, Physics, Biomedical Engineering, or similar.
– 5+ years of hands-on industry and academic experience in Machine and Deep Learning, covering subject like regression and classification, outlier and anomaly detection, clustering, and dimensionality reduction.
– Intimate knowledge of SVM, Random Forests and other ensemble methods, Recurrent Neural Networks (specifically Long short-term memory), and Convolutional Neural Networks.
– Hands-on experience in signal processing techniques.
– In-depth knowledge of ML/DL tools in a scripting language – Python, R, or MATLAB.
Preferred requirements:
– PhD with research thesis in ML/DL.
– Experience with physiology-driven signal processing problems.
– In-depth knowledge of the ML/DL Python ecosystem – scikit-learn, pandas, tensorflow/theano, keras/lasagne, or similar.
– Background in medical statistics – specifically, statistical considerations for designs of studies on human subjects.