AI Reinforcement Learning and Predictive Model Development

This role involves developing and implementing AI-driven solutions for game optimization and balance within Smilegate's global game portfolio. Responsibilities include developing game simulators, leveraging reinforcement learning for game play analysis, creating predictive models based on in-game and learned data, and designing visually appealing reports on game balance. The ideal candidate possesses expertise in reinforcement learning, simulator development, data analysis, and data visualization, with experience in various game types (PVP, PVE, Multi-agent). The position requires strong analytical skills, creative problem-solving abilities, and a deep understanding of game mechanics.