Strong Junior or Middle machine learning engineer in Artellence

Big data, AI and defense are what we have combined in our work. We work "at the cutting edge of innovation", analyze large data from social networks, identify groups of people based on photos, solve other useful tasks for the defense sector and business. Why should the vacancy interest you? We develop AI technologies for the analysis of groups of people, which are unique on a global scale. Almost like in Black Mirror. We have interesting, unusual and a lot of drive - At each position, we provide freedom of action, "creativity", as well as give difficult tasks and help them to solve them, which allows you to very quickly pump up your skills and see the results of your work. Technical requirements: - Commercial experience in MLE/DS from 1 year or experience of successful hackathons/Kaggle - Deep knowledge of algorithms and data structures, deep understanding of OOP, deep theoretical and practical knowledge of machine and deep learning - High level of Python proficiency, including experience with machine learning and mastering libraries at least one of the deep learning frameworks (Tensorflow, Keras, PyTorch) - Experience in feature engineering - Experience in working with Git and Docker - Experience in working with NoSQL and SQL databases - Experience in working with NLP tasks Will be a plus: - Experience in working with MongoDB, Jupyter, Airflow and SQL - Experience with facial and object recognition - Understanding of parallelism principles in Python and experience with relevant libraries Example tasks: - Improving the accuracy of current models - Developing and deploying models in production environments