Machine Learning Engineer — Generative AI for Property

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

Benefits offered by this job

Hybrid and flexible working

Flexible leave options including, and

Birthday leave and purchase additional

Flexible parental leave

Because We Care volunteering

Hackdays

Job summary

REA Group’s PropTrack data science team in Sydney is hiring to design and deploy machine learning pipelines using Python, SQL, IaC, AWS and GCP. You’ll build AI products with Generative AI and traditional ML approaches, prototype PoCs with senior engineers, and support data processes with dashboards and self-service reporting.

You will contribute to data quality, engage with multiple business units, and work within an agile, collaborative environment that values learning and impact.

Qualifications

• Strong coding abilities with Python, SQL, R, or similar.
• Experience with ML lifecycle and production-ready pipelines.
• Hands-on with ML libraries and hosting frameworks.

Responsibilities

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

Skills

SQL

Python

R

C#

Machine Learning

Deep Learning

Time Series

Forecasting

PyTorch

Scikit-learn

Keras

Transformers

FastAPI

Flask

XGBoost

LightGBM

Cloud (AWS/Azure/GCP)

Data Analysis

Education

Bachelor in Computer Science

Mathematics or Statistics

Tools

XGBoost

LightGBM

PyTorch

Keras

HF models

Transformers

FastAPI

Flask

AWS

Azure

GCP

Job description

REA Group’s PropTrack data science team in Sydney is hiring to design and deploy machine learning pipelines using Python, SQL, IaC, AWS and GCP. You’ll build AI products with Generative AI and traditional ML approaches, prototype PoCs with senior engineers, and support data processes with dashboards and self-service reporting.

You will contribute to data quality, engage with multiple business units, and work within an agile, collaborative environment that values learning and impact.