Machine Learning Area Lead - ANZ Plus

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

As ANZ Plus’ Machine Learning lead, you will Develop and execute the strategic vision and roadmap to federate and manage ML at scale across the division. You will Lead, mentor, and manage a diverse team of Engineers including Data, analytics, Machine Learning and DevOps engineers and foster a culture of innovation, collaboration, and continuous improvement. You will Build and Run customer facing AI capabilities and operationally support multiple data products, platforms and services. 

What will your day look like?

• Foster a team culture of continual improvement and technical excellence.  
• Grow and develop your team’s technical engineering and interpersonal skills  
• Work closely with cross-functional teams, including product management, engineering, and business development, to integrate machine learning solutions into products and services. 
• Provide technical guidance and support on complex machine learning problems and projects. 
• Oversee the planning, execution, and delivery of machine learning projects, ensuring they meet business objectives and deadlines. 
• Engage across Legal, Risk and Security partners to establish a blueprint for operationalising AI use cases to accelerate delivery velocity  
• Develop and run the platform, tooling and operating model to federate scaled delivery of AI across ANZ 

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:

• Proven experience in developing and deploying machine learning models and solutions in a production environment. 
• Strong background in statistical analysis, data mining, and algorithm development  
• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and cloud platforms (e.g., AWS, Google Cloud, Azure). 
• Proficiency in programming languages such as Python, R, or Java. 
• Passionate and empathetic leader of leaders with the ability to build a collaborative culture aligned to shared goals 
• Ability to influance both technical and business peers and stakeholders 
• Passionate people leader focused on growing engineering team from both a technical skills perspective and their personal career development.  
• Excellent leadership, influencing, communication and interpersonal skills. 
• Strong problem-solving abilities and a strategic mindset. 

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

01/10/2024 , 11.59pm, (Melbourne Australia)