Description
Later is hiring an ML Ops Engineer to support and grow its cloud infrastructure, DevOps practices, and MLOps capabilities. The role focuses on AWS, Kubernetes, CI/CD, Terraform, model deployment, training pipelines, observability, GPU workloads, and collaboration with engineering, data, and product teams. Candidates should have 2–5 years of DevOps or cloud engineering experience, along with experience in Kubernetes, AWS, SageMaker, data pipelines, LLM deployments, and GPU clusters. The position is hybrid and pays CAD 120,000–140,000 annually.
