Напиши текст вакансии для должности "AI researcher". Название компании: "HUAWEI". Расположение: Москва. График работы: Полный день. Опыт работы: От 3 до 6 лет. Ключевые навыки: 

Requirements: Master in Applied Statistics, Applied Mathematics, Computer Science, or another quantitative discipline 3+ years’ experience in machine-learning-related development Proficient experience in Supervised/Unsupervised, understanding of Reinforcement Learning Basic understanding of End-to-End Learning, Transfer Learning, Federated Learning Solid understanding of Image/Video/Signals processing (classification, segmentation, captioning, in-painting, generation, etc.) Experience in Low Level Image Processing: demosaicing, noise/blur removal, details enhancement, super resolution, etc. Excellent understanding of overfitting/underfitting problem, Deep NN vs Shallow NN Experience with common data scientist toolkits: PyData stack, Tensorflow, Keras, PyTorch, Caffe, Caffe2, CUDA, etc. Proficiency in Linear Algebra, Mathematics, Probability Theory, and Statistics Excellent understanding of classical ML algorithms (k-Means, Naive Bayes, SVM, Decision Tree, SVM, Ensemble methods, etc.) and modern approaches Experience with CNN, RNN, GAN, Autoencoders, VAE, etc. Experience in NN compression/quantization/acceleration Experience in data set preparation (normalization, labeling, consistency, dimension reduction, etc.) Ability to postulate and verify a hypothesis regarding data set Good knowledge of Python Basic knowledge of C/C++, Java English speaking/writing at Intermediate level Good communication and presentation skills Full-time employment Readiness for US, European. and China short-term travels   Responsibilities: Develop innovative AI algorithms for mobile devices for all scenarios in mobile, which include technologies for computer vision and sensor intelligence Design and implement machine learning and engineered techniques to solve performance issues of computer vision and sensor intelligence Investigate the industry and academic technology trends on computing photography, sensor intelligence, and machine learning technologies Investigate design approaches, prototype new technology, and evaluate technical feasibility Data mining using state-of-art methods