Lead ML Engineer & Data Scientist — Build Production AI
Summary
Lead engineer/data scientist building The Argyle Network's first dedicated ML capability within its Registry business in Sydney. Day to day: owning end-to-end ML projects, developing forecasting and anomaly detection models, and designing scalable data pipelines on AWS. On-site, full-time, greenfield platform.
The Argyle Network in Sydney, NSW, AU, is seeking a Machine Learning Engineer / Data Scientist to lead the company’s first dedicated ML capability within its Registry business. This on-site, full-time role offers a rare opportunity to shape the technical direction and build a greenfield ML platform.
You will own end-to-end ML projects, develop models for forecasting and anomaly detection, and design scalable data pipelines using AWS tools.