About Us

At ANZ our purpose is to shape a world where people and communities thrive and to achieve this, we need a talented Machine Learning Leader to drive our Data and AI Tech Area.  We firmly believe in providing a great experience to our customers by delivering the services they require, using technology that works seamlessly and provides the right features and information which will support them to thrive. 

About the Role

Join ANZ Plus, as a Principal Machine Learning Engineer. In this role, you will be at the forefront of developing and deploying the capabilities to support machine learning models to enhance our digital banking services and improve customer engagement. You will work closely with various teams, including other engineers, product, marketing, and customer service, to deliver innovative solutions that drive our business forward.

What will your day look like?

• ​​​​​​Establish the platform capabilities that allow for consistently developed and operated ML workloads by distributed engineering functions 
• Simplify and automate the process for life cycle management of ML solutions
• Partner with leadership to develop an AI/ML strategy and roadmap to improve customer support and banking services. 
• Lead the development of ML processes that integrate seamlessly into ANZ's digital platforms. 
• Collaborate with product and engineering teams to deliver identified opportunities. 
• Build and deploy machine learning models, ensuring a strong understanding of end-to-end machine learning pipelines and components. 
• Identify, track, and remediate data quality issues, ensuring high data reliability, quality, and security. 
• Follow agile software development practices, including test-driven development, continuous delivery, and pair programming. 
• Share responsibility for all operational aspects of the software, supporting a "you build it; you run it" philosophy. 

What will you bring?

We know not everyone will bring all the skills and experience, and at ANZ we are focused on people bringing a growth mindset to their approach to work. 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:

• More than 5 years of industry experience in a machine learning/software engineering role. 
• Experience with industry-level high-scale ML systems. 
• Strong coding proficiency in Python and familiarity with TensorFlow, PyTorch, scikit-learn, Langchain, and Huggingface. 
• Experience with RAG architectures and a strong understanding of computer science/engineering fundamentals. 
• Excellent collaboration and communication skills, with a proven ability to set medium to long-term vision for the team in the AI space. 
• Experience with devops tools and techniques, particularly CloudFormation, Terraform, GCP, and Docker. 
• Experience with building and running computer vision ML models and designing automated ML pipelines. 
• Ability to manage competing demands of multiple projects in a timely manner. 
• Proficiency in SQL, R, C#, or other programming languages. 
• Experience with modern software development techniques such as microservice architecture and continuous delivery. 
• Familiarity with data visualization tools like Tableau or Looker 
• Knowledge of big data technologies such as Hadoop, Spark, or Kafka. 
• Understanding of cloud platforms like Google Cloud Platform. 

So why join us?

At ANZ, everything we do boils down to ‘why’ – our purpose – to shape a world where people and communities thrive. We're just as focused on seeing our people thrive as well as our customers. We'll give you every opportunity to develop your career. 

We are responding faster to changing customer requirements, focusing on the things that matter the most, energising our people, eliminating waste and reducing bureaucracy. 

A happy workplace is a thriving one. So in order to attract and keep the best talent, and say thanks for the hard work, we make sure all our employees are rewarded. 

We work flexibly at ANZ and encourage you to talk to us about how this role can be flexible for you and 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, visit https://www.anz.com.au/careers. You can apply for this role by visiting ANZ Careers and searching for reference number 76018.

Job Posting End Date

31/01/2025 , 11.59pm, (Melbourne Australia)