AI Platform Engineer—MLOps & Cloud Reliability

Verisure

Elche

Presencial

EUR 50.000 - 90.000

Jornada completa

hace 33 horas
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Descripción de la vacante

Verisure is seeking an AI Engineer to join our Data & AI team in Spain. You will design and operate the AI operations platform, focusing on cloud, platform engineering, and automation to run AI products at scale.

You will collaborate with Data Scientists, Data Engineers, and Product teams to deploy ML and LLM pipelines, monitor performance and drift, and drive CI/CD and IaC practices.

Formación

  • Experience in MLOps, AIOps, or operating ML systems in production.
  • Strong background in cloud (AWS and/or Azure).
  • Hands-on with Docker, Kubernetes, and CI/CD pipelines.
  • Experience with monitoring and observability tools.
  • Knowledge of LLMs, RAG pipelines, or AI agents.
  • Solid Python skills and understanding of ML lifecycle.

Responsabilidades

  • Design, build, and evolve our AI operations platform.
  • Operate and optimize ML and LLM pipelines (RAG, agents, etc.).
  • Ensure reliability, scalability, and observability of AI systems.
  • Monitor model performance, quality, and drift.
  • Manage deployments in AWS/Azure with Docker & Kubernetes.
  • Implement LLMOps / AgentOps practices (evaluation, logging, orchestration).
  • Drive automation, CI/CD, and infrastructure as code.
  • Partner with cross-functional teams to bring AI solutions into production.

Conocimientos

MLOps
AIOps
Python
Cloud (AWS/Azure)
Docker
Kubernetes
CI/CD
Observability
LLMs / AI agents
RAG pipelines

Herramientas

SageMaker
Azure ML
MLflow
Kubeflow
LangChain
LlamaIndex
Airflow
Argo

Descripción del empleo

Verisure is seeking an AI Engineer to join our Data & AI team in Spain. You will design and operate the AI operations platform, focusing on cloud, platform engineering, and automation to run AI products at scale.

You will collaborate with Data Scientists, Data Engineers, and Product teams to deploy ML and LLM pipelines, monitor performance and drift, and drive CI/CD and IaC practices.

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