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MLOps Engineer

RED Global

Madrid

A distancia

EUR 50.000 - 70.000

Jornada completa

Hoy
Sé de los primeros/as/es en solicitar esta vacante

Descripción de la vacante

A leading AI technology firm is seeking an experienced MLOps Engineer to support the deployment and operations of agentic AI systems in a remote setting based in Spain. The ideal candidate will have strong hands-on experience in MLOps / DevOps environments, proven skills in Databricks, Kubernetes, Docker, and Terraform. The contract is initially for one year with a strong possibility of extension.

Formación

  • Strong hands-on experience in MLOps / DevOps environments.
  • Proven skills in Databricks, Kubernetes, Docker, and Terraform.
  • Knowledge of MLflow for model lifecycle management.

Responsabilidades

  • Support deployment and operations of agentic AI systems.
  • Work within a Databricks Mosaic AI environment.
  • Collaborate with key partners and teams.

Conocimientos

MLOps / DevOps environments
Databricks
Kubernetes
Docker
Terraform
MLflow
Prometheus
Grafana
LangChain
LangGraph
Descripción del empleo

RED is currently working with one of our key partners on behalf of a leading AI technology client who are looking for MLOps Engineers to support the deployment and operations of agentic AI systems within a Databricks Mosaic AI environment.

Start: ASAP

Duration: 1 Year (with strong possibility of extension)

Location: Remote (based in Spain)

Language: English (required)

Key requirements:

  • Strong hands‑on experience in MLOps / DevOps environments
  • Proven skills in Databricks, Kubernetes, Docker, and Terraform
  • Knowledge of MLflow for model lifecycle management
  • Experience with monitoring and observability tools (Prometheus, Grafana)
  • Familiarity with agentic AI frameworks (LangChain, LangGraph, etc.) is a plus
  • Strong problem‑solving and collaboration skills

If you are available and interested, or know someone who could be, please apply with your latest CV and availability.

Looking forward to hearing from you!

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