Qualifications

• Strong skills in software development or data engineering, particularly with Python or Rust.
• Experience in creating and utilizing web service interfaces.
• Practical knowledge of cloud environments and containerized systems.
• Ability to connect high-level vision with technical details.
• Collaborative mindset with clear and respectful communication.
• Functional knowledge in machine learning, including advanced models.
• Experience in deploying predictive models.
• Familiarity with large-scale data processing tools or platform exploitation is a plus.
• Professional proficiency in English.

Responsibilities

• Manage end-to-end projects from design to real-world application.
• Design, develop, and maintain services and application interfaces for data and model sharing.
• Implement large-scale data processing workflows.
• Deploy and operate scalable cloud infrastructures.
• Contribute to enhancing the quality and reliability of the platform.
• Participate in exploratory projects to test new data and machine learning approaches.
• Write clear, efficient, and maintainable code for large-scale use.
• Apply modern deployment and monitoring practices for machine learning systems.
• Collaborate closely with data specialists and machine learning experts to put models into production.

Benefits

• Work in a collaborative environment that values clear and respectful communication.
• Contribute to projects that focus on player security and data integrity.
• Opportunity to be involved in cutting-edge machine learning research and applications.
• Engage in exploratory projects that encourage innovation.
• Be part of a company renowned for its commitment to quality and reliability.