Software Engineer - Machine Learning

PropTrack is Australia’s leading source of property insights, digital valuation solutions, and predictive analytics. This role sits within our Data Science & Analytics team, which is responsible for the development, deployment, and operations of internal and customer-facing statistical, machine learning, and AI models. The team collaborates closely with a wide range of groups across the business, including Core Property Data, Mortgage Solutions, Consumer AI, Consumer Product & Experience, Commercial and Mortgage Choice.

Design, code, test, and deploy machine learning pipelines using Python, SQL, Infrastructure as Code (IaC), AWS, and GCP.

Build innovative AI products using Generative AI, LLMs, and traditional machine learning techniques.

Prototype and spike out Proofs of Concept (POCs) to explore new ideas and evaluate their feasibility in collaboration with senior engineers.

Support data processes - assist with ad-hoc analysis, automated dashboards, and self-service reporting tools so that everyone gets a good sense of the state our data.

Analyse and produce data coverage and quality statistics across internal and external data sets to provide a high level of awareness across multiple teams.

Following agile software development practices such as test-driven development, continuous delivery and pair programming.

Sharing responsibility for all operational aspects of the software that we build, in support of our “you build it; you run it” philosophy where dev-ops is a part of everyday life.

Learning –we are constantly learning together, mentoring each other and striving to do things better

Our ideal candidate will have a mix of skills in the areas below. Don’t hesitate to apply even if you don’t tick every item: