Global MLOps Engineer — AWS, Kubernetes, MLflow | Hybrid

Amaris Consulting; Barcelona; Híbrido; EUR 55.000 - 85.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Remote-friendly within country

Training budget & certifications

Private health insurance & transit/tie

Descripción de la vacante

Amaris Consulting is seeking an MLOps Engineer to design, implement, and optimize scalable ML platforms in an international setting. You will manage end-to-end ML lifecycles, build cloud infra on AWS, and deploy containerized workloads with Kubernetes.

Ideal candidates have 2+ years of MLOps experience, strong Python skills, and fluency in English and Spanish, with a Barcelona-based, 50% hybrid work arrangement. Remote-friendly options are available within national scope.

Formación

• 2+ years of hands-on MLOps experience.
• Strong AWS experience including infra, automation & security.
• Hands-on Terraform for IaC.
• Kubernetes deployment, cluster management & automation.
• Experience with MLflow, Kubeflow, TFX or Airflow.
• Understanding ML lifecycle from experiments to monitoring.
• Strong Python programming and CI/CD familiarity.
• Fluent English and Spanish in an international setting.
• Based in Barcelona with 50% hybrid work.

Responsabilidades

• Design, implement, and optimize scalable MLOps platforms & pipelines.
• Automate end-to-end ML lifecycles: training, deployment, monitoring & retraining.
• Build and manage cloud infra on AWS.
• Deploy and operate containerized ML workloads with Kubernetes.
• Collaborate with ML, Data, Software Eng and Cloud teams.

Conocimientos

MLOps

AWS

Python

MLflow

Kubeflow

TFX

Airflow

Kubernetes

English

Spanish

Hybrid work

Herramientas

Terraform

Kubernetes

Descripción del empleo

Amaris Consulting is seeking an MLOps Engineer to design, implement, and optimize scalable ML platforms in an international setting. You will manage end-to-end ML lifecycles, build cloud infra on AWS, and deploy containerized workloads with Kubernetes.

Ideal candidates have 2+ years of MLOps experience, strong Python skills, and fluency in English and Spanish, with a Barcelona-based, 50% hybrid work arrangement. Remote-friendly options are available within national scope.