ML Engineer - Generative AI for Property (Hybrid Sydney)

Rea Group; Sydney; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid and flexible working

Birthday leave & additional leave

Flexible parental leave

Because We Care volunteering & charity

Hackdays

Job summary

RE A Group is building innovative AI and machine learning products to shape how Australia experiences property. This permanent Sydney-based role sits in the Data Science & Analytics team, collaborating across groups to deploy ML models and AI solutions.

You will work in a learning-focused, high-performance culture with flexible leave and Hackdays. We value collaboration, experimentation and impact, with a hybrid working approach and commitments to diversity and inclusion.

Qualifications

• Programming in SQL, Python, R, C# or similar; ability to code across ML stack.
• Strong interest in Machine Learning, Deep Learning, Time Series Analysis & Forecasting and software development.
• In-depth knowledge of the ML model lifecycle and hosting libraries.
• Experience with cloud services (AWS/Azure/GCP) and data handling best practices.

Responsibilities

• Design, code, test, and deploy ML pipelines using Python, SQL, IaC, AWS, and GCP.
• Build innovative AI products using Generative AI, LLMs, and traditional ML techniques.
• Prototype and spike Proofs of Concept to explore ideas with senior engineers.
• Support data processes with ad-hoc analysis, dashboards and self-service reporting tools.

Skills

Python

SQL

R

C#

Machine Learning

Education

Bachelor's in Computer Science/Math/Stats

Tools

XGBoost

LightGBM

Scikit-learn

PyTorch

Keras

Transformers

FastAPI

Job description

RE A Group is building innovative AI and machine learning products to shape how Australia experiences property. This permanent Sydney-based role sits in the Data Science & Analytics team, collaborating across groups to deploy ML models and AI solutions.

You will work in a learning-focused, high-performance culture with flexible leave and Hackdays. We value collaboration, experimentation and impact, with a hybrid working approach and commitments to diversity and inclusion.