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MLOps Engineer

We are hiring an MLOps Engineer to make machine learning models reliable to train, deploy and monitor in production.

Location: Dublin, Ireland. Full-time. Experience: 3-6 years.

Key Responsibilities

  • Build automated training, testing and deployment pipelines for models
  • Run model serving on containers and Kubernetes
  • Monitor model performance, drift and infrastructure cost
  • Manage experiment tracking, model registries and data versioning
  • Work with data scientists and DevOps engineers on shared standards

Required Skills

  • Experience with Python, Docker and CI/CD
  • Knowledge of a cloud platform such as AWS or Azure
  • Understanding of the machine learning lifecycle
  • Monitoring and troubleshooting skills

Nice to Have

  • Experience with MLflow, Kubeflow or SageMaker
  • Infrastructure as code with Terraform

What We Offer

  • A full-time role based in Dublin, Ireland
  • Work on real client projects across web, mobile, cloud and data
  • Support for learning and professional development
  • A collaborative team environment

How to Apply

Use the application form on this page and attach your CV, or email your CV and a short note about your experience to jobs@cloudwiss.ie or hr@cloudwiss.ie with the role title in the subject line.

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Applying for MLOps Engineer (Dublin, Ireland, Full-time). Fill in your details and attach your CV. Your application goes straight to our team.

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