MLOps Lead

Kaizen Global Technologies; Sydney; On-site; AUD 150,000 - 190,000; Full time

Job summary

Kaizen Global Technologies seeks an experienced ML Platform Engineer to design and manage production-ready ML, GenAI, and LLM platforms. You will build CI/CD pipelines, automate testing and deployment, and deploy scalable AI workloads in cloud environments.

Responsibilities include governance, incident response, and collaboration with stakeholders to ensure reliable AI solutions across the business.

Qualifications

• Experience designing and operating production ML/GenAI platforms.
• Hands-on with cloud ML services (GCP/Azure/AWS).
• Strong coding in Python and SQL for data workflows.

Responsibilities

• Design and manage production-ready ML, GenAI and LLM platforms.
• Build CI/CD and continuous-training pipelines for machine-learning models.
• Automate model testing, validation, deployment, monitoring and rollback.
• Deploy scalable AI workloads using Docker, Kubernetes and cloud platforms.
• Operationalise RAG and Agentic AI applications with strong governance.
• Lead incident resolution and collaborate with technical and business stakeholders.

Tools

Vertex AI

MLflow

Kubeflow

GCP

Microsoft Azure

AWS

Docker

Kubernetes

OpenShift

Jenkins

GitHub Actions

GitLab CI/CD

Terraform

Python

SQL

LangChain

LangGraph

CrewAI

Spark

Airflow

Job description

• Design and manage production-ready ML, GenAI and LLM platforms.
• Build CI/CD and continuous-training pipelines for machine-learning models.
• Automate model testing, validation, deployment, monitoring and rollback.
• Deploy scalable AI workloads using Docker, Kubernetes and cloud platforms.
• Operationalise RAG and Agentic AI applications with strong governance.
• Lead incident resolution and collaborate with technical and business stakeholders.

Required Skills

• Vertex AI, MLflow and Kubeflow
• GCP, Microsoft Azure and AWS
• Docker, Kubernetes and OpenShift
• Jenkins, GitHub Actions and GitLab CI/CD
• Terraform, Python and SQL
• LangChain, LangGraph, CrewAI, Spark and Airflow