AI DevOps Engineer

You will be part of a team that aims to bring engine, game development tools and gameplay systems to the next level. You’ll work closely with data scientists and engineers to streamline the deployment and monitoring of machine learning models, build robust ML pipelines, and ensure our infrastructure scales with the growing needs of cutting-edge AI-driven game systems.

Daily responsibilities

Setting up, configuring and maintaining ML environments both locally and in the cloud.
Deploying, monitoring, and maintaining machine learning models in production.
Building simple web applications and interfaces for models’ interactions.
Integrating various services and systems into cohesive production solutions.
Close collaboration with Data Science, IT, and Security teams.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Electronics, Engineering, or a related field.
Proven experience in DevOps, ML Ops, or similar roles, preferably within the gaming industry or other real-time systems.
Strong experience with building, deploying, and maintaining machine learning pipelines in production environments.
Familiarity with containerization and orchestration of ML systems.
Solid understanding of CI/CD practices tailored to ML workflows.
Practical knowledge of Python and GCP.
Knowledge of model versioning, reproducibility, and data governance best practices.
Excellent communication and collaboration skills to support cross-functional teams.
A passion for games and a curiosity for how AI and machine learning can enhance interactive experiences.
Nice to have

Knowledge of Perforce is a plus.
Experience with Azure and AWS.