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SalaryMachine Learning Engineer, Chapter Lead - ANZ Plus
Location; Melbourne
Permanent - Full Time/Part Time
Blended working model - 50% office/50% WFH
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.
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 build key ML-powered features for ANZ Plus. These features provide innovative and best-in-class customer experience and automate complex business operations that challenges the status quo.
- Co-create with business teams on requirements, objectives, technical and business design, so that the potential of modern ML/AI technologies can be harnessed with appropriate considerations to FSI legal, ethical and compliance requirements.
- Drive the swift adoption of new ML/AI capabilities in an FSI environment through effective communication and collaboration with risks to business, risk and legal stakeholders, and lead in implementation of effective controls.
- Scale the impact of ML through enabling data scientists and non-specialist engineers to be able to build and productionise models. Through a combination of standardising designs and recommended practices, identifying automation opportunities, and leading by example and influential collaboration.
- People leadership of a small engineering team, support and mentor engineers in their development and career growth.
- Foster a culture of curiosity, collaboration, and delivering what matters
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:
- An understanding of how Machine Learning apps are designed, developed, and deployed. Including familiarity with:
- An application programming language (preferably Python)
- Infrastructure-as-code
- CI/CD
- Testing Methodologies
- Data application architecture on GCP
- Competency in advocating for the use of ML models in a heavily-regulated business environment. Including the ability to:
- Articulate the risks associated with the use of statistical models
- Design controls to mitigate these risks
- Communicate the benefits of ML, as well as the risk-management strategy to non-technical stakeholders
- Engineering leadership skills. Such as:
- Empathy required to guide more junior members of the team in their career development
- Experience leading the work practices of high-performing engineering teams
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?
There's something special about being part of ANZ. From the moment you join us, you're part of a team working towards a common goal: improving the financial wellbeing and sustainability of our millions of customers.
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 and community you need to take the next big step in your career, towards even bigger things in the future.
We offer a range of benefits tailored to the countries in which we operate including Health and Wellbeing programs and flexible working arrangements.
You'll also enjoy working in a diverse and inclusive workplace where the different backgrounds, perspectives and life experiences of our people are celebrated. We encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability, let us know how we can provide you with additional support.
To find out more about working at ANZ or to view other opportunities visit You may apply for this role by visiting ANZ Careers and searching for reference number 55841
Job Posting End Date
December 17, 11.59pm, (Melbourne Australia)
