AI/ML Software Engineer (Hybrid) — Sydney

REA Group; Sydney; Hybrid; AUD 150,000 - 185,000; Full time

Benefits offered by this job

Hybrid work

Birthday leave

Parental leave

Volunteer leave & community grants

Hackdays

Job summary

REA Group in Sydney is seeking a data science & analytics professional to design, build, and deploy ML pipelines and AI products. You will collaborate with Core Property Data, Mortgage Solutions, and Consumer teams to deliver end-to-end models and insights.

You will prototype PoCs, work with modern ML libraries, and contribute to a culture of learning and experimentation in a hybrid work environment.

Qualifications

• Programming skills in SQL, Python, R, C#, or similar; ability to code.
• Passion for ML, DL, Generative AI, Time Series Forecasting and software development.
• Deep understanding of the ML model lifecycle and data handling.

Responsibilities

• Design, code, test, and deploy machine learning pipelines using Python, SQL, IaC, AWS and GCP.
• Build innovative AI products using Generative AI, LLMs, and traditional ML techniques.
• Prototype and spike out PoCs with senior engineers to evaluate feasibility.
• Support data processes with ad-hoc analysis, dashboards and self-service reporting.
• Analyze data quality across internal and external data sets for cross-team awareness.
• Follow agile practices including TDD, CI/CD and pair programming.
• Share responsibility for operational aspects of the software we build and run it.
• Lifelong learning, mentoring, and collective improvement.

Skills

SQL

Python

R

C#

Machine Learning

Deep Learning

Time Series Forecasting

Software Development

Stakeholder Communication

Education

Bachelors in Computer Science, Mathematics, Statistics, or a similar discipline

Tools

XGBoost

LightGBM

Scikit-learn

PyTorch

Keras

HF models

Transformers

FastAPI

Flask

Job description

REA Group in Sydney is seeking a data science & analytics professional to design, build, and deploy ML pipelines and AI products. You will collaborate with Core Property Data, Mortgage Solutions, and Consumer teams to deliver end-to-end models and insights.

You will prototype PoCs, work with modern ML libraries, and contribute to a culture of learning and experimentation in a hybrid work environment.