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Gestionar el ciclo de vida de modelos de Machine Learning en entornos productivos. Desarrollar y mantener la infraestructura backend vinculada a sistemas de Machine Learning. Proponer e implementar soluciones técnicas alineadas al negocio. Integrar y operacionalizar modelos junto a equipos de ciencia de datos e ingeniería. Diseñar automatizaciones y flujos de CI/CD para despliegues confiables. Optimizar el rendimiento, la escalabilidad y la disponibilidad de los modelos y servicios.
