machine-learning Senior (5-10 yrs) Full-time Australia Create a free account to apply — email only, no card. You can also save this posting or score it againstyour profile with AI. Design, train, and deploy advanced machine learning models to enhance customer experience and prevent fraud. Collaborate cross-functionally with fraud analysts, engineers, and product managers to ensure scalable and reliable ML solutions. What they look for

Machine Learning Fraud Detection Probability Statistics Algorithms Keras PyTorch AWS GCP Azure Data Modeling Software Architecture Anomaly Detection Graph-based Analytics MLOps CI/CD Requirements

Requires a strong background in probability, statistics, and algorithms with expertise in machine learning frameworks like Keras or PyTorch. Candidates must have experience deploying models on cloud platforms and a solid understanding of MLOps and fraud detection techniques. Prezzeeversary Leave BirthYay Leave Novated Car Leasing ClassPass Membership Office Allowance Versatile Work Perks Prezzee Staff Discounts Wellbeing Support Learning & Development Employee Resource Groups Parental Leave 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. The Role: Are you ready to transform customer experience and lead the charge in fraud detection? As a Senior Machine Learning Engineer, you’ll play a pivotal role in shaping the future of our AI/ML capabilities. Collaborating with teams across Fraud, Technology, Product, Sales, and Finance, you'll design, train,



and deploy advanced machine learning models to enhance customer experience and protect against fraud. Your work will directly drive business growth while ensuring robust fraud prevention. What You'll Be Doing: 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. What We’re Looking For: Core

Skills:
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. Why Join Us? 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. Prezzee has been recognised for th

📌 Senior ML Engineer | Fraud Detection (Melbourne)
🏢 Prezzee
📍 Melbourne