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Senior Machine Learning Engineer

PrezzeeSydney, Australia Fraud
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Salary
Not listed
Job type
Full-time
Posted
28 Feb 2025
Status
Open · checked 7d ago

About this role

Prezzee in Sydney is seeking a Senior Machine Learning Engineer to design advanced AI solutions that safeguard transactions and improve customer experiences. This professional will play a vital part in building scalable fraud prevention tools for a prominent digital gifting platform.

Role Overview

As a Senior Machine Learning Engineer, the successful candidate will lead the creation of advanced AI capabilities within the fraud department. The position involves designing, training, and deploying sophisticated models that protect the business from malicious activity while boosting user satisfaction. Working closely with diverse teams across technology, product, sales, and finance, the engineer will turn complex data into robust protective measures that drive continuous commercial growth.

Key Responsibilities

Create and refine machine learning algorithms specifically aimed at elevating customer experience and fighting fraudulent behavior.
Experiment with innovative techniques, model architectures, and feature selection methods to guarantee peak performance.
Curate and clean large datasets to ensure high-quality training and testing inputs for reliable predictive models.
Deploy and maintain production machine learning systems that remain scalable, efficient, and dependable over time.
Collaborate alongside fraud analysts, software engineers, and product managers to align technical solutions with corporate objectives.
Stay updated on emerging trends in artificial intelligence and machine learning to keep the organization ahead of industry shifts.

Requirements

Strong foundation in probability, statistics, and algorithms applied directly to fraud detection and prevention.
Demonstrated expertise working with machine learning frameworks such as PyTorch and Keras.
Practical background deploying machine learning models on major cloud infrastructure platforms including AWS, GCP, or Azure.
Comprehensive knowledge of scalable machine learning systems alongside real-time model deployment strategies.
Familiarity with data structures, software architecture, and data modeling best practices.
Practical exposure to fraud detection methodologies, featuring anomaly detection and graph-based analytics.
Solid comprehension of MLOps practices and CI/CD pipelines tailored for machine learning models.

Skills and Tools

PyTorch
Keras
AWS
GCP
Azure
MLOps
CI/CD pipelines
Fraud detection and anomaly detection techniques

Salary and Benefits

Prezzeeversary Leave granting an extra day of annual leave for every year of service.
BirthYay Leave offering a paid day off during the employee's birthday month.
Novated Car Leasing for tax-smart vehicle and running cost management.
Fully covered ClassPass Membership providing monthly credits for fitness, wellness, and beauty.
One-time Office Allowance to upgrade the home or personal work setup.
Flexible Work Perks featuring flexible hours, Culture Swap Days, and 30-day remote work from anywhere.
Exclusive staff discounts on Prezzee gift cards.
Wellbeing Support via Telus covering mental, social, financial, and physical health.
Learning and Development access through LinkedIn Learning, job shadowing, and industry programs.
Employee Resource Groups like EmpowHer and Pride to foster belonging.
Parental Leave offering 12 weeks for primary carers and 4 weeks for secondary carers.

About the Company

Prezzee operates as a global leader in digital gifting and payments, having distributed over 140 million gift cards via partnerships spanning more than 1,500 brands and serving over 6 million customers globally. Recognized repeatedly as a top workplace, the company values diversity, openness, excellence, and impact, ensuring a collaborative environment where every individual can bring their authentic self to work.

How to Apply

Interested candidates should visit the official Prezzee careers page to submit their application and learn more about current opportunities.

Skills and tech stack

PyTorchAWSGCPAzureMLOps

Questions candidates ask

Where is this job located?

This position is based in Sydney, Australia.

What core technical skills are required?

Candidates need expertise in machine learning frameworks like PyTorch, cloud platforms such as AWS, GCP, or Azure, and a solid understanding of MLOps, CI/CD pipelines, and fraud detection techniques.

What departments will I collaborate with?

You will collaborate with teams across Fraud, Technology, Product, Sales, and Finance.

What benefits does Prezzee offer employees?

Benefits include Prezzeeversary leave, BirthYay leave, novated car leasing, ClassPass memberships, an office setup allowance, flexible work options, staff gift card discounts, wellbeing support, and comprehensive parental leave.

How should I apply for this role?

You should apply directly on the official Prezzee careers page.

Ready to apply?

The application is on the official Prezzee careers page.

Apply on company site