Machine Learning Engineer - ANZ Plus

About Us

At ANZ Plus, our purpose is to shape a world where people and communities thrive. We are making this happen by improving our customers’ financial wellbeing so they can achieve incredible things – be it buying a home, building a business, or saving for things big or small. We are looking for people who are passionate about transformational change and to help us redefine banking for the future.   

About the Role

Your role as an MLOps Engineer will be similar to DevOps engineer, with stretched focus on productionizing Machine Learning features. Be a part of building the ideal data and ML/AI ecosystem from scratch. Spearhead the integration of the latest capabilities to enhance customer experiences and transform business operations. Embrace the vision of democratizing ML/AI technology, making it accessible to all by establishing robust engineering standards, simplifying complexities, and designing effective controls and guardrails. This leadership role goes beyond conventional boundaries, empowering you to lead and innovate across many aspects of our data enablement value stream. 

What will your day look like?

• Design and implement scalable AI solutions that enables data engineers and ML scientists to train, build and maintain machine learning models effectively. 
• Develop automated processes for continuous model training and evaluation pipelines specifically for ML applications. 
• Ensure the seamless integration of ANZ Plus’s current architecture with newly added ML functionalities, enhancing overall system capabilities. 
• Collaborating with diverse stakeholders including business partners, risk, legal and security teams, as well as UX designers and architects to define and implement robust validation and verification strategies 
• Fostering a culture of quality coding practices, including test-driven development, unit testing and secure coding awareness 
• Focus on business practicality and the 80/20 rule, aiming for high bar for code quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future" 

What will you bring?

To grow and be successful in this role, you will bring extensive analytical and technical skills, business acumen and natural curiosity to deliver on product investigations and analysis and support initiatives through insights.  

You will ideally bring the following:   

• Proficiency in one of the scripting/programming languages (Python or Go). 
• Experience in building software using GCP technologies. 
• Experience with containerization, Terraform, and GitOps principles for automation and deployment. 
• Strong background in ML concepts and applications and in-depth knowledge of MLOps best practices. 
• Agile development mindset, appreciating the benefit of constant iteration and improvement 
• Have experience of addressing Tech Debt with minimizing production incidents 
• Familiarity with RAG architectures and/or have a good understanding of its application 

You’re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we’d love to hear from you. 

So why join us?

From the moment you join ANZ, you'll be doing meaningful work that will shape a world where people and communities thrive.

But it's not just our customers who'll feel your impact. You'll feel it too. Because at ANZ, you'll have the resources, opportunities, and support you need to take the next big step in your career.

We're a diverse bunch at ANZ in different roles, different locations, doing different things. That's why we have a range of flexible working arrangements, so our people can 'make work, work for them'. We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more.

At ANZ, you'll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated. That's because we're committed to building a workplace that reflects the diversity of the communities we serve. We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you're a candidate with a disability or access requirement, and have an enquiry about the support provided, please let us know on your application or visit ANZ Accessibility and Inclusion Programs for alternate contact methods.

To find out more about working at ANZ, visit https://www.anz.com.au/careers. You can apply for this role by visiting ANZ Careers and searching for reference number 87253 .
 

Job Posting End Date

, 11.59pm, (Melbourne Australia)