Role Summary This role focuses on building and deploying machine learning solutions that improve personalization, recommendations, and customer... Read more
Role Summary
This role focuses on building and deploying machine learning solutions that improve personalization, recommendations, and customer experiences across entertainment and digital platforms. The engineer will work with large-scale customer data, develop ML models, create data pipelines, collaborate with data scientists and software engineers, and use experimentation (A/B testing) to improve model performance and user engagement.
Key Skills Required
Python programmingMachine Learning fundamentals (classification, regression, feature engineering, model evaluation)Scikit-learn, TensorFlow, or PyTorchSQL and large-scale data processingGit and software development best practicesData analysis and experimentationPreferred Skills
Recommendation systems and personalizationRanking algorithmsSpark/PySpark, Databricks, MLflowDocker and AWSA/B testing and model optimizationIdeal CandidateAn early-career ML Engineer (1 to 3 years of experience) who can transform machine learning research into production-ready solutions, work with large datasets, and help drive user engagement through data-driven recommendations.
GCS is acting as an Employment Business in relation to this vacancy.
Read lessMcKinney, Texas, United States of AmericaContractRemote
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