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:

• Strong background in probability, statistics and algorithms, with the ability to apply these to fraud detection and prevention.
• Expertise in machine learning frameworks such as Keras and PyTorch.
• Experience deploying machine learning models on cloud platforms such as AWS, GCP or Azure.
• Experience building scalable machine learning systems and deploying models in real time.
• Familiarity with data structures, data modelling and software architecture.
• Experience with fraud detection techniques, including anomaly detection and graph-based analytics.
• Solid understanding of MLOps practices and CI/CD pipelines for machine learning models.
• Strong hands-on experience with Databricks, including developing and maintaining Delta Live Tables, troubleshooting production data pipelines, and optimising compute performance and cost. 

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 the third consecutive year as a Computerworld Best Places to Work in IT, and as a Great Place to Work® 2026 across all three of our three regions. We value diversity, collaboration, and innovation in everything we do. Join a global team united by the core values: Give openness, Give greatness, Give magic, Give ingenuity, Give damn.

Prezzee is an Equal Opportunity employer. We believe that diversity is the

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:

• Strong background in probability, statistics and algorithms, with the ability to apply these to fraud detection and prevention.
• Expertise in machine learning frameworks such as Keras and PyTorch.
• Experience deploying machine learning models on cloud platforms such as AWS, GCP or Azure.
• Experience building scalable machine learning systems and deploying models in real time.
• Familiarity with data structures, data modelling and software architecture.
• Experience with fraud detection techniques, including anomaly detection and graph-based analytics.
• Solid understanding of MLOps practices and CI/CD pipelines for machine learning models.
• Strong hands-on experience with Databricks, including developing and maintaining Delta Live Tables, troubleshooting production data pipelines, and optimising compute performance and cost. 

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 the third consecutive year as a Computerworld Best Places to Work in IT, and as a Great Place to Work® 2026 across all three of our three regions. We value diversity, collaboration, and innovation in everything we do. Join a global team united by the core values: Give openness, Give greatness, Give magic, Give ingenuity, Give damn.

Prezzee is an Equal Opportunity employer. We believe that diversity is the