Improve the performance of our machine learning models.
Continuously oversee the performance of models in production and develop monitoring tools to gain deeper insights into areas for model performance enhancement.
Collaborate with a team of researchers and engineers to design, implement and maintain innovative solutions to complex problems.
Reduce the training and inference time of our ML pipeline.
Drive projects and lead new initiatives in MLOps.

Masters or PhD degree in Computer Science, a related field, or equivalent practical experience.
Applied research experience with a successful track record of delivering quality results.
Extensive expertise in machine learning, with in-depth, hands-on experience in reinforcement learning or game theory.
Exceptional communication, cross discipline collaboration and leadership skills.
Passion for games and how intelligent systems can teach humans problem solving skills.

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GTO Wizard