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Top AI & Machine Learning Jobs
Gaming • Information Technology • Mobile • Software • Esports
The Senior AI Designer will develop, design, and implement complex AI systems for NPCs, ensuring engaging gameplay and collaboration across disciplines.
Top Skills:
Ai SystemsBehavior TreesState TreesUnreal Engine
Gaming • Information Technology • Mobile • Software • Esports
Lead and grow a multidisciplinary Game Science & Insights team to drive experimentation, causal inference, predictive modelling and AI/ML systems across AAA and live-service titles. Own analytics operations, oversee AI/ML lifecycle from research to production on Snowflake/Databricks, partner cross-functionally to influence product and commercial outcomes, and recruit and mentor technical staff while ensuring high-quality, timely delivery and risk mitigation.
Top Skills:
AsanaClaudeConfluenceDatabricksGitGithub AiGithub CopilotJIRALarge Language ModelsMlopsPower BIPythonSlackSnowflakeSQLTableau
Gaming • Information Technology • Mobile • Software • Esports
Design, implement, and manage end-to-end ML pipelines and scalable model serving infrastructure. Build feature stores, continuous training (CT) pipelines, monitoring for model drift and latency, optimize GPU/CPU cluster costs, and collaborate with data scientists to productionize models for live-service games.
Top Skills:
AirflowAws SagemakerCi/CdDatabricksDatabricks Model ServingDockerKubeflowKubernetesMlflowPysparkPythonPyTorchScikit-LearnSeldonSparkSQLTensorFlow
Gaming • Information Technology • Mobile • Software • Esports
Serve as the operational hub for analytics, ML, and game intelligence initiatives. Facilitate end-to-end data science workflows, build roadmaps and schedules, manage Jira/Confluence workflows, mitigate risks and dependencies, coordinate cross-functional teams and global operations, and produce executive reporting to maintain visibility into analytical project status.
Top Skills:
ConfluenceJIRA
Gaming • Information Technology • Mobile • Software • Esports
Design and deploy machine learning models (matchmaking, skill rating, recommender systems). Develop representation learning for player behavior, evaluate state-of-the-art methods, translate product problems into ML tasks, lead technical discussions, and collaborate with engineers to integrate models into production.
Top Skills:
SparkAWSContainerizationModel OrchestrationModel ServingPythonPyTorchSQLTensorFlow
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