Qualifications

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

Responsibilities

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

Benefits

• Collaborative work environment fostering innovation and creative solutions.
• Opportunities to work on exploratory and impactful projects.
• Access to a comprehensive resource library for continuous learning and development.
• Supportive team culture emphasizing clear communication and respect.
• Involvement in protecting player trust and security through technology.