Machine Learning Engineer

Master's or PhD degree in a relevant domain (math statistics, math modelling, computer science, etc.);
Deep expertise in Python development. Knowledge of basic data structures and algorithms;
Good knowledge in classical machine learning algorithms, deep learning, modern neural network approaches;
Knowledge of ML frameworks and libraries (more - better): Tensorflow, Keras, Pytorch, Caffe2, scikit-learn, numpy, matplotlib, OpenCV, word2vec.
LP, chatbots development, text content understanding;
Object detection and tracking. -Gesture recognition, scene understanding, movement/action prediction. Semantic segmentation and instance semantic segmentation;
Timeseries analysis: forecasting, clustering and classification;
Data preparation: raw data annotation and labeling, data augmentation and normalization.