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Urgent! AI Ops Engineer Job Opening In Lima – Now Hiring Laureate Perú

AI Ops Engineer



Job description

Laureate es una corporación con presencia internacional, cuyo propósito es proporcionar acceso a una educación asequible y de alta calidad, mediante nuestras instituciones UPC, UPN y Cibertec, atendiendo a más de 200 Mil estudiantes a nivel nacional.

Contribuye con el equipo que promueve el desarrollo del país a través de la educación

Nos encontramos en la búsqueda de:
AI Ops Engineer - Chapter Inteligencia Artificial

MISIÓN DEL PUESTO:

Diseñar, automatizar y mantener la infraestructura en la nube que soporte los modelos de machine learning, asegurando despliegues confiables, escalables y monitoreados en AWS.

Además, construir y optimizar pipelines de datos que alimenten el Customer Data Platform (CDP) y otros sistemas analíticos de Laureate.

FORMACIÓN Y EXPERIENCIA:

  • Formación en Ingeniería de Sistemas, Ciencias de la Computación o afines.

  • Experiencia 1 año en administración y automatización de infraestructura en la nube (AWS preferido)
  • Experiencia 1 año en CI/CD (GitHub Actions, Jenkins, CodePipeline, etc.)
  • Experiencia 1 año en MLOps: despliegue, monitoreo y versionamiento de modelos de ML.

  • Deseable experiencia 1 año con IaC (Terraform, CloudFormation)
  • Experiencia 1 año en puestos similares.

CONOCIMIENTO:

  • Conocimiento de contenedores (Docker, Kubernetes, ECS, EKS)
  • Conocimientos en Data Engineering: ETL, orquestación (Airflow/Lambda/Step Functions)
  • Conocimientos de bases de datos relacionales y no relacionales.

  • Inglés intermedio-avanzado.

  • Buen dominio de AWS (S3, Lambda, ECS/EKS, SageMaker, Redshift, CloudWatch).

  • Herramientas de observabilidad y monitoreo (Prometheus, Grafana, CloudWatch).

  • Manejo de pipelines de datos (ETL/ELT), incluyendo integración con herramientas de analítica y CDPs.
  • Seguridad en la nube y gestión de accesos (IAM).

  • Automatización y scripting (Python, Bash, etc.).

FUNCIONES:

Implementar y administrar la infraestructura en la nube

  • Garantizar la disponibilidad, escalabilidad y seguridad de los servicios en AWS.

Automatizar despliegues de modelos de ML (MLOps) ·

  • Implementar CI/CD, versionamiento y monitoreo de modelos en SageMaker u otros entornos.

Construir y mantener pipelines de datos ·

  • Desarrollar ETL/ELT para integrar fuentes de datos hacia el CDP y plataformas analíticas.

Monitorear y optimizar costos en la nube ·

  • Asegurar el uso eficiente de recursos de infraestructura y almacenamiento.

Documentar y transferir conocimiento ·

  • Establecer prácticas de DevOps/MLOps sostenibles para la organización.

BENEFICIOS:

  • Contrato en planilla.

  • EPS AL 50% y Seguro Oncológico al 100%.

  • Descuentos corporativos.

  • Descuentos educativos.

  • Modalidad remota.


Required Skill Profession

Other General



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    Unlock Your AI Ops Potential: Insight & Career Growth Guide


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