Lead Machine Learning Engineer
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El puesto
Lead the design and development of scalable ML/AI tools and cloud-based services to enable a global platform.
Bridge data science and engineering by applying analytics, predictive modeling, and data mining to solve cross-unit business problems.
Design and implement end-to-end data pipelines for ingestion, cleansing, transformation, and storage.
Productize complex ML PoCs and contribute to new product development through hands-on design, coding, and model deployment.
Collaborate across regions and teams to deliver robust, scalable, and compliant ML solutions.
Champion ML lifecycle best practices, including deployment, monitoring, and continuous improvement in the cloud.
Bridge data science and engineering by applying analytics, predictive modeling, and data mining to solve cross-unit business problems.
Design and implement end-to-end data pipelines for ingestion, cleansing, transformation, and storage.
Productize complex ML PoCs and contribute to new product development through hands-on design, coding, and model deployment.
Collaborate across regions and teams to deliver robust, scalable, and compliant ML solutions.
Champion ML lifecycle best practices, including deployment, monitoring, and continuous improvement in the cloud.
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