Responsibilities: Carrying out exploratory data analysis, formulating hypotheses and evaluating their potential based on data. Selection of modeling methods and their justification. Development of models for testing hypotheses on various sources and types of data (tables, event streams). conducting pilot projects. Analysis of the results of pilot projects. Requirements: Knowledge of classical machine learning. Knowledge of the principles of operation and construction of neural networks, familiar
Responsibilities: Carrying out exploratory data analysis, formulating hypotheses and evaluating their potential based on data. Selection of modeling methods and their justification. Development of models for testing hypotheses on various sources and types of data (tables, event streams). conducting pilot projects. Analysis of the results of pilot projects. Requirements: Knowledge of classical machine learning. Knowledge of the principles of operation and construction of neural networks, familiarity with modern architectures. Development experience in Python (not necessary, but will be an advantage). Understanding of the specifics of the development of machine learning technologies, starting with the formulation business problems and ending with output into a product. Conditions: Work in an office format (Not remotely) Top schedule (5/2 from 09:00 to 18:00) Comfortable office with spacious open spaces and recreation areas. We provide full training for candidates without experience The main thing is the desire to work.