MLOps Engineer

About 7-Eleven Australia

Since 2024, 7-Eleven Australia has become a part of the largest global retail network, spanning 20 countries and operating over 84,000 stores. The company has ambitious growth plans locally, offering a dynamic environment for those eager to join a retailer with a worldwide presence.

Benefits

• Work in a lively, open-plan office located in Richmond designed to foster creativity and collaboration.
• Flexible work arrangement giving you the blend of remote work and in-office engagement.
• A paid day off annually dedicated to volunteering for causes meaningful to you.
• Complimentary coffee and snacks available at the office to keep your energy up.
• Generous parental leave policies: up to 15 weeks paid leave for primary carers and up to 4 weeks concurrent leave.
• Active social initiatives including a Social Club and Open Committee hosting events and activities.
• Unlimited access to LinkedIn Learning courses to promote personal and professional growth.

Role Overview

Reporting to the Head of Research, Analytics & Data Science, the MLOps Engineer plays a crucial role in collaborating with Data Scientists, Data Engineers, and Technology teams to deploy and maintain machine learning and AI solutions in production settings. The initial focus will be on operationalizing and supporting a major machine learning engine hosted on Databricks while also aiding various predictive modeling, optimization, and AI projects across the organization.

Key Responsibilities

• Collaborate closely with Data Science teams to transition models from experimentation through validation to deployment and ongoing production management.
• Develop and sustain production workflows encompassing data ingestion, processing, model execution, retraining, testing, and deployment.
• Create and manage CI/CD pipelines and structured release procedures for machine learning and AI workloads.
• Construct and uphold reliable data and feature pipelines required by AI/ML solutions.
• Identify and resolve production issues related to models, data, or platform in conjunction with Data Science and Engineering teams.
• Implement enterprise-level access controls, security protocols, and governance within Databricks, including permissions for AI agents and automated systems.
• Support the deployment and operations of Generative AI solutions including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and emerging AI use cases.
• Develop reusable templates, tools, and best practices to streamline consistent model deployment.
• Establish and configure state-of-the-art tools to comply with production standards and best practices.
• Optimize performance and ensure efficient utilization of Databricks and cloud infrastructure.

Required Skills and Experience

• Proficient in Python and SQL, with practical experience using PySpark in distributed data environments.
• Hands-on experience working with Azure Databricks ecosystem including MLflow, Delta Lake, Unity Catalog, and Workflows.
• Proven background in deploying, monitoring, and operating machine learning models in production, including managing drift detection and alerting for performance and data quality.
• Experience incorporating CI/CD and sound software engineering practices specifically for data or machine learning applications, preferably with Azure DevOps.
• Established expertise in developing unit and integration testing frameworks for AI and machine learning projects.
• Skills in optimizing data processing performance and tuning.
• Understanding of governance frameworks including AI agent guardrails, permission structures, auditability, and operational risk management.

Preferred Additional Experience

• Deployment and operational management of agentic AI and LLM-based production solutions such as RAG, vector search, evaluation versioning, and agent orchestration.
• Knowledge of AI agent management and Multi-channel Processing (MCP) orchestration tools.
• Experience with Azure cloud services supporting AI and machine learning workloads.
• Databricks certifications or equivalent hands-on experience.

Diversity and Inclusion

7-Eleven values diversity and is dedicated to cultivating an inclusive workplace where every team member feels respected and appreciated regardless of background or identity. The company holds recognition as a Diversity Council Australia Inclusive Employer (2025-2026) and has Gold Accreditation from the Australian Workplace Equity Index.

Accessibility and Recruitment Support

The company is committed to providing equitable recruitment processes. Candidates requiring adjustments during the hiring process can confidentially request support via email, which is strictly reserved for recruitment adjustments.