Hybrid MLOps Engineer — Production ML & Databricks

7 Eleven; City of Melbourne; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Open office in Richmond

Remote flexibility

Volunteer day off

Free coffee and snacks

Parental leave up to 15 weeks

Social Club & Open Committee

LinkedIn Learning access

Job summary

7-Eleven Australia is seeking an MLOps Engineer to help deploy, operate and maintain machine learning solutions in production. You will work with Data Scientists and Engineers to bridge model development and production, focusing on a Databricks-based engine and a growing portfolio of predictive and AI use cases.

You will implement production workflows, build CI/CD pipelines, and ensure secure, scalable data and feature pipelines while supporting Generative AI initiatives and tooling across the

Qualifications

• Hands-on experience deploying data science and ML solutions in production.
• Proficiency with Python, SQL and PySpark in distributed environments.
• Experience with Databricks ecosystem and model deployment in production.

Responsibilities

• Partner with Data Science to take models from experimentation through deployment and production management.
• Implement and maintain production workflows for data ingestion, processing, model execution and retraining.
• Build and maintain CI/CD pipelines and controlled release processes for ML workloads.
• Create robust data and feature pipelines for ML/AI solutions.
• Diagnose production issues and coordinate with teams to resolve model, data and platform problems.
• Enforce access controls, security and governance within Databricks and AI systems.
• Support operationalising Generative AI solutions, including LLM applications and RAG.
• Contribute to reusable templates, tooling and MLOps practices.
• Establish best practices and state-of-the-art tooling for production standards.
• Assist performance optimisation and efficient use of Databricks and cloud infra.

Skills

Python

SQL

PySpark

CI/CD

Databricks

Azure Cloud

Governance & security

Model deployment

Tools

Azure Databricks

MLflow

Delta Lake

Unity Catalog

Workflows

Azure DevOps

CI/CD tooling

Job description

7-Eleven Australia is seeking an MLOps Engineer to help deploy, operate and maintain machine learning solutions in production. You will work with Data Scientists and Engineers to bridge model development and production, focusing on a Databricks-based engine and a growing portfolio of predictive and AI use cases.

You will implement production workflows, build CI/CD pipelines, and ensure secure, scalable data and feature pipelines while supporting Generative AI initiatives and tooling across the