Machine Learning Platform Engineer
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El puesto
Own end-to-end ML platform projects, from gathering requirements to developer adoption and impact delivery.
Build and operate data pipelines and production ML systems at scale using AWS, Python, and Terraform.
Leverage large-scale activity and geospatial datasets to inform decisions and optimize features.
Implement automated retraining, performance monitoring, feature logging, and A/B testing.
Explore generative AI techniques like LLMs, vector stores, and agent frameworks to drive innovation.
Collaborate with engineers and data scientists, mentor junior teammates, and drive business impact.
Build and operate data pipelines and production ML systems at scale using AWS, Python, and Terraform.
Leverage large-scale activity and geospatial datasets to inform decisions and optimize features.
Implement automated retraining, performance monitoring, feature logging, and A/B testing.
Explore generative AI techniques like LLMs, vector stores, and agent frameworks to drive innovation.
Collaborate with engineers and data scientists, mentor junior teammates, and drive business impact.
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