ML/AI Engineer

Australian Retirement Trust; City of Brisbane; Hybrid; AUD 90,000 - 130,000; Full time

Job summary

A leading retirement provider in Brisbane is seeking a ML/AI Engineer to develop and deploy advanced machine learning solutions. You'll analyze data to drive strategic decisions and enhance member experiences. Ideal candidates will have strong communication skills and proficiency in SQL and Python/R. Join a team focused on innovation with excellent training and flexible work arrangements.

Benefits

14% superannuation

Flexible work arrangements

Excellent training and development opportunities

Qualifications

• Experience using machine learning and AI to solve business problems, preferably in financial services.
• Strong knowledge of data models and data mining techniques.
• Demonstrated analytical, modelling, and data mining skills with attention to detail.

Responsibilities

• Develop, build, and maintain segmentation, predictive models.
• Deploy AI solutions that integrate with enterprise systems.
• Analyse internal and external data using statistical and machine learning techniques.

Skills

Communication skills

Creative problem solving

Machine learning implementation

Data analysis

SQL proficiency

Python/R proficiency

Knowledge of data models

Education

Tertiary qualifications in Mathematics, Data/Computer Science, Information Management, Statistics, or related field

Tools

SQL

Python

R

Databricks on Azure/AWS

Job description

Take hold of a monster opportunity and join our Data & AI team as a ML/AI Engineer. If you’re a good fit for this role and live in Brisbane, Sydney or Melbourne, we’d love you to apply.

About the role

We’re all about helping our members make the most of their money. And while they go after their goals, you can too. As a ML/AI Engineer at Australian Retirement Trust, you will play a pivotal role in developing and deploying advanced machine learning and AI solutions that drive strategic decision-making and enhance member experience.

Day to day, you'll:

• Develop, build, and maintain segmentation, predictive models, forecasting, and AI-driven solutions to meet business needs and improve outcomes.
• Deploy AI solutions that integrate with enterprise systems to enhance operational efficiency and customer experience.
• Analyse internal and external data using statistical and machine learning techniques to uncover trends in ART and the broader superannuation industry.
• Automate and maintain CI/CD pipelines for AI models, ensuring seamless integration and continuous delivery of updates.
• Monitor AI system performance in production, proactively identifying and resolving issues to maintain accuracy and efficiency.
• Conduct exploratory data analysis on structured and unstructured data to uncover new opportunities and insights.
• Communicate findings and recommendations through clear documentation, visualisations, and stakeholder engagement.
• Ensure compliance with ART’s data and AI governance and reporting standards.

About you

You'll be a great communicator with top-notch interpersonal skills. We'll also expect you to pick up problems and come up with quick, creative ways to solve them. You may also have:

• Tertiary qualifications in Mathematics, Data/Computer Science, Information Management, Statistics, or a related field.
• Experience using machine learning and AI to solve business problems, preferably in financial services.
• Proficiency in SQL and Python/R, ideally within a cloud environment (e.g., Databricks on Azure/AWS).
• Strong knowledge of data models and data mining techniques.
• Demonstrated analytical, modelling, and data mining skills with attention to detail and accuracy.
• Proven ability to analyse and apply customer information to generate actionable insights.
• Advanced written and verbal communication skills, with the ability to present solutions to stakeholders.
• Demonstrated ability to work collaboratively within and across multi-disciplinary teams.

What we offer

You'll get 14% super as standard, to help your future come alive. You'll also have access to excellent training and development opportunities, flexible work arrangements, and a range of perks and benefits, including state-of-the-art offices, competitive salaries, and a supportive environment.

How to apply

Everyone is welcome to apply. We value diverse thinking, cultures, perspectives, backgrounds, and abilities. Apply online now. Applications close 11:30pm 16 October 2025.