Description
Our team develops automated tests for artificial intelligence algorithms, evaluating performance, accuracy, and robustness to input data.
Responsibilities
- automate testing processes: embed new tests into regular CI/CD runs, upload test data to the reporting system, automate report generation
- interact with development and data science teams
- coordinate testing requirements.
Requirements
- higher technical or physico-mathematical education
- experience in Python development and Pytest testing
- knowledge in the field of OOP and software testing
- knowledge in the field of neural networks: general information, neural network accuracy and performance, metrics and datasets
- understanding of CI/CD practices.
Will be a plus:
- knowledge of GitLab CI, Allure TestOps, Grafana
- understanding of collaborative development practices: use of git, code-review process, etc.
- knowledge of English language
- instrumental proficiency with AI for analysis, generation, and automation.
Conditions
- hybrid work format from the office in Moscow or Nizhny Novgorod
- annual salary review, quarterly and annual bonus
- corporate gym and recreation areas
- extended VHI, preferential insurance for family and corporate pension program
- free SberPrime+ subscription, discounts on products from partner companies.
