Senior Machine Learning Engineer
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El puesto
Design, build, and maintain scalable real-time ML pipelines for ad decisioning and monetization.
Develop real-time inference systems, training infrastructure, and experimentation frameworks (A/B tests, multi-armed bandits).
Collaborate with data science, engineering, and product teams to translate business goals into robust model solutions under strict latency constraints.
Own MLOps lifecycle from training to deployment and monitoring, with emphasis on performance tuning and reliability.
Optimize latency in distributed streaming environments (AWS, Spark, Kubernetes) and drive data integration with partners like LiveRamp and TransUnion.
Participate in code reviews, system design, and sprint planning to deliver impact in a fast-paced, cross-functional setting.
Develop real-time inference systems, training infrastructure, and experimentation frameworks (A/B tests, multi-armed bandits).
Collaborate with data science, engineering, and product teams to translate business goals into robust model solutions under strict latency constraints.
Own MLOps lifecycle from training to deployment and monitoring, with emphasis on performance tuning and reliability.
Optimize latency in distributed streaming environments (AWS, Spark, Kubernetes) and drive data integration with partners like LiveRamp and TransUnion.
Participate in code reviews, system design, and sprint planning to deliver impact in a fast-paced, cross-functional setting.
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