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MLOps / DevOps Engineer (AI/ML & GenAI) Ubicación: España (Latam Talent) Job Opening In Peru, Peru – Now Hiring Confidential

MLOps / DevOps Engineer (AI/ML & GenAI) Ubicación: España (Latam Talent)

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Job description




MLOps / DevOps Engineer (AI/ML & GenAI)
Ubicación: España (Latam Talent)

Ubicación: España (remoto o híbrido, desde España)
Contrato: Full-time
Idioma: Inglés B2+ (requerido)
Requisito: NIE España, o Pasaporte EU, residir o mudarse a España.

Sobre el rol

Buscamos un/a MLOps / DevOps Engineer para diseñar, implementar y operar la plataforma de IA/ML y GenAI de punta a punta: desde ingestión y entrenamiento hasta despliegue, monitoreo y gobernanza en la nube.

Serás clave para llevar modelos y agentes a producción de forma escalable, segura y confiable.

Responsabilidades


  • Diseñar, implementar y gestionar pipelines de CI/CD para modelos de IA/ML y apps de GenAI.


  • Construir y mantener infraestructura cloud-native (AWS/Azure/GCP) para todo el ciclo de vida de IA.


  • Automatizar provisión con IaC (Terraform, CloudFormation, Pulumi).


  • Garantizar escalabilidad, confiabilidad y alta disponibilidad en producción.


  • Aplicar buenas prácticas MLOps: versionado de modelos, monitoring, rollbacks, testing automatizado.


  • Colaborar con Data Engineering y ML para operacionalizar modelos e integrarlos a sistemas core.


  • Monitorear performance, investigar incidentes (RCA) y liderar su resolución.


  • Promover seguridad, compliance y gobernanza en todo el stack de IA.


  • Mejorar continuamente capacidades y tooling DevOps/MLOps del equipo.


  • (Nice) Actuar como referente técnico en DevOps/MLOps y fomentar cultura de automatización.


Requisitos (Must-have)


  • 5+ años en DevOps / SRE / Platform Engineering.


  • Experiencia soportando workloads de ML/AI en producción.


  • Contenerización y orquestación: Docker, Kubernetes (microservicios).


  • Gestión de nubes (AWS/Azure/GCP), cost optimization y security best practices.


  • CI/CD con Jenkins / GitHub Actions / GitLab CI (o similares).


  • Familiaridad con workflows de ML, patrones de despliegue de modelos y herramientas MLOps (p.

    ej., MLflow, Kubeflow, SageMaker, Vertex AI).


  • Inglés B2 o superior.


Plus (Nice-to-have)


  • Certificaciones cloud/DevOps (AWS DevOps Engineer, Azure DevOps, Google Cloud DevOps).


  • Experiencia GenAI (LLMs/diffusion) en producción.


  • Conocimiento de sectores regulados (finanzas, etc.).


  • Contribuciones open-source o liderazgo en comunidad.


Habilidades & Competencias


  • Scripting/automatización: Python, Bash (Go deseable).


  • Observabilidad: Prometheus, Grafana, ELK/EFK, Datadog.


  • Dominio de principios CI/CD e infra-as-code.


  • Seguridad y compliance en sistemas cloud y data/IA.


  • Trabajo en equipos ágiles y multifuncionales; foco en delivery continuo.


  • Ownership, resolución de problemas y comunicación clara con perfiles técnicos y no técnicos.



Postulación



  1. Aplica aquí mismo si cumples con los requisitos.

  2. Compártelo con un colega, si no es para ti.

Muchas gracias!

Required Skill Profession

Computer Occupations


  • Job Details

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