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Ai Engineer
hace 3 meses
.En WayOps buscamos un perfil **AI Engineer** que quiera desarrollar su carrera profesional formando parte de un equipo Data & AI de primer nível y trabajando en proyectos cloud con las últimas tecnologías.**CONTEXTO & RESPONSABILIDADES**La persona seleccionada se incorporará dentro de un equipo de nueva formación que tendrá como misión automatizar mediante MLOps la creación responsable de modelos en la plataforma analítica. Junto al AI Architect, el AI Engineer deberá desarrollar librerías Python que permitan la integración del código científico con el proceso de MLOps y arquetipos de código que utilicen estas librerías.Será imprescindible contar con un _background _técnico en programación y familiaridad tanto con DevOps, como con el ciclo de vida de los modelos científicos.**PROYECTO & EQUIPO**El proyecto persigue la adaptación de la plataforma analítica existente para integrar la creación responsable de modelos y automatizar su despliegue mediante MLOps. Como quiera que la base tecnológica ya incluye Azure Databricks y Azure Machine Learning Services, se quiere realizar la implementación del proceso gobernado desde Azure DevOps integrando a través de SDK con el resto de servicios para la creación automática de recursos o implementar las pipelines de despliegue.Para el éxito del proyecto, resulta imprescindible contar con especialistas que además de tener visión de la arquitectura puedan realizar la configuración de las pipelines y crear los arquetipos en código que integren con los diferentes servicios de Azure Machine Learning. La configuración de cada iniciativa debe permitir el desarrollo local o remoto contra un clúster en Databricks o un Compute en Azure Machine Learning. Toda la configuración del proyecto y despliegue deben ser automatizados.El equipo designado para el proyecto incluirá ingenieros de automatización MLOps (MLOps Engineer) e ingenieros de industrialización IA (AI Engineer) que serán supervisados por el líder técnico (Team Lead). El AI Architect trabajará de la mano del líder técnico y deberá liderar las tareas del equipo, especialmente los ingenieros de industrialización AI. Además, el proyecto contará con la supervisión del arquitecto empresarial y el apoyo del especialista de la plataforma. En total el equipo del proyecto serán unas ocho personas.**EXPERIENCIA & CONOCIMIENTOS**El perfil a incorporar deberá contar con 2-3 años de experiência como Ingeniero de IA participando en la industrialización de modelos científicos y desarrollo de librerías Python de referencia en entornos productivos. Además,deberá contar con un _background _de 3-5 años de experiência como Ingeniero de Software desarrollando aplicaciones y programas orientados a la transformación de datos o operacionalización de modelos científicos
