DevOps Engineer

We're looking for a DevOps Engineer with strong MLOps experience to help operationalize AI and Machine Learning models across the business. You will build and manage the cloud, infrastructure, and pipelines that allow Data Scientists and ML Engineers to deploy models into production safely, reliably, and at scale.
This is a senior technical role where you will work closely with AI Engineers, Data Scientists, Cloud Architects, and business teams. You will also have the opportunity to mentor junior engineers and help shape the future of AI engineering within the organisation.
What You Will Do
Build and maintain CI/CD pipelines for AI/ML workloads.
Implement DevOps practices for the full ML lifecycle (experiment ? train ? deploy ? monitor ? retrain).
Deploy machine learning models in AWS, Azure, or GCP.
Use containerization and orchestration tools such as Docker and Kubernetes.
Manage AI/ML platforms such as MLflow, Kubeflow, SageMaker, or Vertex AI.
Monitor models...