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Usted será responsable de:\r\n Proporcionar soluciones para la implementación, ejecución, validación, monitoreo y mejora de soluciones de ciencia de datos\r\n Crear sistemas de aprendizaje automático escalables que sean altamente eficientes\r\n Construir canalizaciones de datos en producción reutilizables para modelos de aprendizaje automático implementados\r\n Escribir código y bibliotecas de calidad en producción que puedan empaquetarse como contenedores, instalarse y desplegarse\r\n Colaborará con equipos multifuncionales y socios comerciales y tendrá la oportunidad de impulsar la estrategia actual y futura aprovechando sus habilidades analíticas, asegurando el valor empresarial y comunicando los resultados.\r\nRequisitos\r\n Título universitario o superior en informática o campo relacionado, con 7+ años de experiencia laboral\r\n Capacidad para colaborar con ingenieros de datos y científicos de datos para construir canalizaciones de datos y modelos, y ayudar a ejecutar pruebas y 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en buenas prácticas de codificación en un contexto de integración continua, evaluación de modelos y diseño experimental\r\n Conocimientos de frameworks de ML como Scikitlearn, Tensorflow y Keras\r\n Conocimientos de MLflow, Airflow y Kubernetes\r\n Experiencia en entornos en la nube y conocimiento de servicios como AWS SageMaker\r\n Dominio de herramientas estadísticas, bases de datos relacionales y experiencia en lenguajes de programación (Python/SQL)\r\n Beneficios\r\nEste puesto ofrece una excelente oportunidad de desarrollo profesional significativo en un entorno empresarial en rápido crecimiento y desafiante, con un alto grado de responsabilidad individual.\r\n\r\n\r\n#LI-remote\r\n","price":"Salario negociable","unit":"per 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