Posted:
1/9/2025, 5:33:53 PM
Location(s):
Sydney, New South Wales, Australia ⋅ Victoria, Australia ⋅ Melbourne, Victoria, Australia ⋅ New South Wales, Australia
Experience Level(s):
Expert or higher ⋅ Senior
Field(s):
AI & Machine Learning ⋅ Software Engineering
You are a technical leader who is passionate about AI, Gen AI, Machine Learning and cloud technologies
We are one of the most advanced cloud platforms across the bank
Together we’ll build tomorrow's bank, using world-leading engineering, technology & innovation
Do work that matters
CommBank is recognised as leading technology and engineering innovation across Australia, from payments to internet banking and mobile apps. Our Software team are the brains behind Australia’s number one banking app, Netbank, Cardless Cash, Comm Sec Pocket and Spend Tracker.
We’re Agile, product aligned, and work shift left and full cycle engineering (you design, code, deploy/automate, and maintain – you own what you build).
See yourself in our team
You’ll be joining our Cloud Enablement & Engineering Crew, who are a team of some of the smartest engineers in Australia. As we’re invested in building world class digital application and services to our customers, we’re now building a new team to drive our Artificial Intelligence (AI), Machine Learning (ML), and Cloud capabilities.
As our Senior Staff Platform Engineer, you’ll be a hand’s-on technical leader with expertise in designing and building complex, scalable and secure AI, Machine Learning software solutions. Partnering with senior stakeholders in the Crew, you’ll develop strategies and implement Model Quality Assurance & Model Performance Monitoring. Utilise advanced machine learning techniques to develop and train generative AI models on AWS, and be across the latest advancements in Gen AI, ML, and deep learning techniques to integrate into our products and service.
If your driven by pushing the boundaries, thinking outside the box, constantly innovating to design and build the best solutions – this might be your next career move.
We’re interested in hearing from people who:
Can bring their expertise in Gen AI Models (LLMs, GANs, RL and RAG)
Deliver innovative solutions using Gen AI technologies
Show a thorough understanding of ML and deep learning principles and algorithms
Are experienced with cloud platforms, ideally AWS
Code in multiple languages including Python, and enjoy working with machine learning frameworks (such as TensorFlow, PyTorch, or Scikit-Learn)
Work with large datasets, with knowledge of Data Pre-Processing Techniques
Tech skills
We use a broad range of tools, languages, and frameworks. We do not expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team;
Proficiency in languages such as Python, Java, or C++
AWS services such as SageMaker, Bedrock, Rekognition, and Comprehend
Docker or Kubernetes
DevOps practices and tools such as Github Actions, Jenkins, Terraform
Working with us:
Whether you’re passionate about customer service, driven by data, or called by creativity, a career with CommBank is for you.
Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with flexible work locations. One where we’re driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities and each other is part of our every day.
Here, you’ll thrive. You’ll be supported when faced with challenges and empowered to tackle new opportunities. We’re hiring engineers from across all of Australia, you’ll be empowered to do your best work and be given the choice on when and where that work happens. We really love working here, and we think you will too.
If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.
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Website: https://commbank.com.au/
Headquarter Location: Sydney, New South Wales, Australia
Employee Count: 10001+
Year Founded: 1911
Last Funding Type: Post-IPO Debt
Industries: Banking ⋅ Finance ⋅ Financial Services ⋅ Wealth Management