Job Overview

As a MLOps Engineer at Nitor you'll design, build and maintain production‑ready ML platforms, transforming proof‑of‑concepts into scalable systems. You will work closely with data scientists, ML engineers and platform teams to ensure models run safely, efficiently and with governance.

Responsibilities

• Build ML infrastructure for client projects using AWS SageMaker, GCP Vertex AI, Azure Machine Learning or Kubeflow.
• Deploy production‑ready pipelines: convert PoC applications into production‑grade systems.
• Support ML engineers with model deployment and feature‑engineering pipelines.
• Implement IaC with Terraform and CI/CD pipelines with GitHub Actions or Jenkins.
• Use container technologies (Docker, Kubernetes) and cloud services (AWS, GCP, Azure).
• Ensure models stay operational and automatically update with new data.
• Apply security, cost‑optimization and governance best practic...