Senior Software Engineer

Retail Banking Services

SeniorSoftwareEngineer-MLOps

Australia FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer - MLOps at Senior Software Engineer. Skills: MLOps, machine learning platforms, automation, cloud-native AI solutions. Design MLOps pipelines. Operationalise models using AWS SageMaker”

What You'll Achieve.

set the standard for a world-class, self-service, secure, and scalable MLOps platform; enables rapid experimentation; enables safe production deployment; drive seamless, responsible experiences; deliver fair and positive outcomes for customers; enable reliable, compliant, and observable ML solutions

Industry & Context.

Retail Banking Services
Problems you'll solve

solving complex problems; structured, engineering-led approach; technical troubleshooting

What They're Looking For.

Must Have

hands-on experience operationalising machine learning models in a cloud environment (AWS preferred), experience with Python, familiarity with SQL for data analysis and validation, comfortable working in regulated, large-scale enterprise environments

Nice to Have

MLOps, Cloud Engineering, Automation, AI platforms

What You'll Do.

Design MLOps pipelines

Operationalise models using AWS SageMaker

Support LLM and Generative AI workloads

Develop CI/CD pipelines

Implement monitoring and observability

Automate ML processes

Take ownership of production support

Drive continuous improvement

Collaborate with data scientists

Maintain security adherence

Ensure comprehensive documentation

Participate as senior engineer

How You'll Work.

Team & Collaboration

Collaborate with data scientists and engineers; Work closely with Group Customer Advocacy & Remediation (GCAR); Work closely with Internal Audit; Work closely with Risk partners; Provide mentoring and technical assistance

Communication Scope

clear and comprehensive documentation

Full Job Description

* _You are an experienced**MLOps Engineer** who is passionate about **machine learning platforms, automation, and cloud-native AI solutions**._ * _We’re looking to set the standard for a**world-class, self-service, secure, and scalable MLOps platform** that enables rapid experimentation and safe production deployment of ML and Generative AI models._ * _Together, we can build**state-of-the-art AI and LLM platforms** that drive seamless, responsible experiences for millions of customers._ **Do work that matters** Retail Banking Services (RBS) is the public face of CommBank, delivering a seamless banking experience for the future to our **10 million + personal and small business customers**. We offer market-leading products and services, supported by some of the world’s best systems, platforms, and engineering practices. As a **Senior MLOps Engineer** , you will apply modern engineering and MLOps practices to operationalise machine learning and Large Language Models (LLMs) at scale. The role provides a strong opportunity to contribute to **AI platform uplift** , **cloud adoption** , and **enterprise-grade ML enablement** on AWS. **See yourself in our team** The **RBS Customer Remediation crew** is responsible for identifying root causes of issues, implementing control mitigations with Lines of Business, and ensuring customers are fully refunded for any bank error. We work closely with **Group Customer Advocacy & Remediation (GCAR)**, **Internal Audit** , and **Risk partners** to deliver fair and positive outcomes for customers. As part of this crew, the Senior MLOps Engineer will enable reliable, compliant, and observable ML solutions that support remediation analytics, automation, and decisioning use cases. **Your responsibilities will include:** * Design, build, and maintain end-to-end MLOps pipelines for training, testing, deployment, and monitoring of ML and LLM models. * Operationalise models using **AWS SageMaker** , including training jobs, pipelines, model regi

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