Senior Machine Learning Engineer

Australia·Sydneysenior

Machine Learning EngineerData

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Quick Summary

Key Responsibilities

Design & Innovate : Create and refine machine learning algorithms that enhance customer experience (CX) and fight fraud, pushing the boundaries of what’s possible.

Technical Tools

Machine Learning EngineerData

Prezzee is a global leader in digital gifting and payments, having sold over 140 million gift cards through partnerships with more than 1,500 brands and serving over 6 million customers worldwide. Our mission is to change lives through the power of giving — leveraging borderless payment technology and innovative digital solutions to help people connect and create memorable moments that truly matter.

Responsibilities

~1 min read

→Design & Innovate: Create and refine machine learning algorithms that enhance customer experience (CX) and fight fraud, pushing the boundaries of what’s possible.
→Optimise Performance: Experiment with new techniques, architectures, and feature selection to ensure top-tier model performance.
→Clean and Curate Data: Work with large datasets, ensuring high-quality data for training and testing – setting the stage for powerful, reliable models.
→Deploy & Scale: Deploy and maintain machine learning models in production environments, ensuring that they are scalable, efficient, and reliable.
→Collaborate Cross-Functionally: Collaborate closely with fraud analysts, software engineers, product managers, and business stakeholders to ensure our ML solutions align with the company’s goals, particularly as it relates to fraud detection and prevention.
→Stay at the Forefront of Innovation: Always be learning and experimenting with emerging trends in machine learning and AI to keep us ahead of the curve.

A strong background in probability, statistics, and algorithms and how to apply these to Fraud Detection and Prevention.
Expertise in machine learning frameworks (e.g., Keras, PyTorch).
Experience in deploying machine learning models on cloud platforms such as AWS, GCP, or Azure.
Knowledge of scalable machine learning systems and real-time model deployment.
Familiarity with data structures, data modeling, and software architecture.
Experience with fraud detection techniques, including anomaly detection and graph-based analytics.
A solid understanding of MLOps and CI/CD pipelines for ML models.

What We Offer

~3 min read

You’ll play a key role in shaping the future of digital gifting at a global scale — working with talented people, modern technology, and a culture that genuinely values openness, excellence, and impact. We Offer:

✓Prezzeeversary Leave – Extra day of annual leave for each year you’re with us.

✓BirthYay Leave – Celebrate you with a paid day off during your birthday month.

✓Novated Car Leasing – A tax-smart way to bundle and pay for your car and running costs.

✓ClassPass Membership – Fully covered monthly credits for fitness, wellness, and beauty.

✓Office Allowance – One-time payment to upgrade your office setup.

✓Flexible Work Perks – Flex your hours, take Culture Swap Days, and work from anywhere for 30 days a year.

✓Prezzee Staff Discounts – Exclusive deals on Prezzee gift cards – just for being part of the team.

✓Wellbeing Support – Access to mental, social, financial, and physical wellbeing support via Telus.

✓Learning & Development – Grow your career with LinkedIn Learning, job shadowing, industry programs, and our Lunch & Learn sessions.

✓Employee Resource Groups – Be an advocate or ally and foster belonging through groups like EmpowHer and Pride.

✓Parental Leave – 12 weeks for primary carers and 4 weeks for secondary carers.