Responsibilities: • Development of machine learning models (primarily DL) according to customer requirements. Customers are various business lines of the bank; • Implementation of models into industrial execution environments; • Conducting experiments with various neural network architectures; • Analysis of scientific articles in the field of DL and application of ideas presented in them to improve developed models; • Support of existing models in industrial systems

Requirements: • Deep theoretical knowledge of ML, DL; • Experience in implementing projects using DL, experience in developing ML and DL solutions on graphs will be an advantage. Experience in the financial sector is an advantage; • Technology stack: SQL, PySpark, Python, PyTorch, PyG, MLFlow, AirFlow; • Good understanding of basic neural network architectures: MLP, RNN, Transformers, CNN, knowledge of graph neural network architectures will be an advantage. • Understanding the applicability of a particular architecture to various business tasks will be an advantage.

Conditions: • Stable work in one of the largest banks in the country • Strong DS community, a wide variety of work and extracurricular activities. • Competitive salary, social package. • Opportunities for growth and development (including conferences, trainings, internal development programs). • Friendly team of like-minded people (all specialists in machine learning are united in one department for the most intensive and productive knowledge exchange). • Cutting-edge technology stack, high-performance equipment. • Opportunity to solve various applied problems with deployment into industrial operation, the opportunity to significantly influence the result (including in a business sense) and the methods of achieving it (up to making changes to the architecture). • Quarterly bonus based on performance; • Voluntary medical insurance, life insurance; • Corporate training