Technical Machine Learning Producer

PLAY, GROW and WIN

To be a part of Virtuos means to be a creator.  

At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly pushing the boundaries of possibility since our founding in 2004. 

Virtuosi is a team of experts – people who have come together to share their mutual passion for making and playing games. People with the same enthusiasm for exploring new ideas and the constant drive to excel in their field. People who believe in earning success through dedication.

At Virtuos, we are at the forefront of gaming, creating exciting new experiences daily. Join us to Play, Grow and Win – together.

ABOUT THE POSITION

• Own the roadmap, planning and delivery of the team's machine-learning and AI products.

• Translate product goals into technically-grounded milestones and actionable work.

• Scope machine-learning efforts hands-on, reasoning about data, training, evaluation and deployment trade-offs.

• Track experiments, metrics and model quality, and make data-driven prioritization decisions.

• Coordinate machine-learning engineers, game teams, design and quality engineering, and run Agile/Scrum ceremonies.

• Manage risks, dependencies, timelines and stakeholder communication.

• Define success criteria and evaluation plans for AI features.

• Proven experience delivering software as a technical producer or technical program manager, ideally for machine-learning/AI or game products.

• A solid working understanding of the machine-learning lifecycle — data, training, evaluation and deployment (MLOps).

• The ability to read and review code in at least one language (for example, Python) and reason about machine-learning and agentic systems; this is a hands-on technical role, not purely process management.

• Game development delivery experience.

• Strong organization, stakeholder-management and communication skills.

• Comfort with Agile/Scrum, experiment tracking and metrics.

• Bachelor's degree in Computer Science, Engineering or equivalent practical experience.

• Excellent written and spoken English.

• Around 6+ years delivering software, including technical-producer or technical-program-manager experience.

• Hands-on experience with AI coding assistants such as Claude Code, Codex CLI, GitHub Copilot or equivalent (required).