03 Machine Learning - Devops Engineer Python/Cloud

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
Your role as an MLOps Engineer will be similar to DevOps engineer, with stretched focus on productionizing Machine Learning features.

• 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"

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).
• Experience in building data products using GCP/ AWS technologies such .
• 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.

• 18 paid leaves/year (12 annual leaves and 6 personal leaves)
• Insurance plan based on full salary + 13th month salary + Performance bonus
• Meal allowance of 730,000 VND/month
• 100% full salary and benefits as an official employee from the 1st day of working
• Medical benefit for employee and family
• Working in a fast-paced, flexible, and multinational working environment. Chance to travel onsite (in 53 countries)
• Free snacks, refreshment, and parking
• Internal training (Technical & Functional & English)
• Working time: 8:30 AM - 6:00 PM from Mondays to Fridays

Why join ANZ?

Our purpose is to shape a world where people and communities thrive. That's why we strive to create balanced, sustainable economy in which everyone can take part and build a better life. By helping people make the most of what they have, we transform ideas, hard work and ambition into reality.

Career development means different things to different people. It may simply mean developing a skill, broadening your experience by moving sideways or stretching yourself by moving to a different business. How you manage and develop your career is up to you, but ANZ is committed to helping you do this by providing you with the support, tools and resources you need.
ANZ recognises the value of an inclusive and diverse work environment. We take pride in the diversity of our people and encourage applications from diverse candidates. Our recruitment decisions are based on the key inherent needs and requirements of each role, and candidates are selected based on their unique strengths and characteristics. We work flexibly at ANZ. Talk to us and let us know how this role can be flexible for you.

Please Note: After your initial application you may be asked to complete an online assessment, this invite will be sent to you via email from our assessment partner SHL. Please action this request as early as possible, this will enable us to manage your application and provide you with an update in a timely manner.