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Senior Machine Learning Engineer

PrezzeeMelbourne, 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

The Senior Machine Learning Engineer position at Prezzee in Melbourne is a vital role focused on building advanced fraud detection systems and is ideal for an experienced machine learning professional. This opportunity allows the right candidate to directly impact global digital gifting security and customer experience.

Role Overview

In this Melbourne-based role within the Fraud department, the professional will shape the future of artificial intelligence and machine learning capabilities. The successful candidate will design, train, and deploy advanced algorithms to protect against fraud while improving overall user interaction. By partnering with teams across technology, product, sales, finance, and fraud analysis, the engineer will ensure that technical solutions directly support broader business growth and security objectives.

Key Responsibilities

Create and refine machine learning algorithms focused on fighting fraud and enhancing customer experience.
Experiment with innovative architectures, techniques, and feature selection to optimize model performance.
Clean, curate, and manage large datasets to guarantee high-quality training and testing inputs.
Deploy, scale, and maintain machine learning models in live production environments for high efficiency and reliability.
Collaborate closely with software engineers, fraud analysts, and product managers to align technical output with company goals.
Explore emerging artificial intelligence trends to keep the platform ahead of industry developments.

Requirements

A strong foundation in probability, statistics, and algorithms applied specifically to fraud detection and prevention.
Proven expertise utilizing machine learning frameworks such as PyTorch and Keras.
Practical experience deploying machine learning models via cloud platforms including AWS, GCP, or Azure.
Knowledge regarding scalable machine learning systems and real-time model deployment.
Familiarity with data structures, data modeling, and core software architecture principles.
Hands-on background with fraud detection methodologies, including graph-based analytics and anomaly detection.
Solid understanding 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 served.
BirthYay Leave providing a paid day off during the employee's birthday month.
Novated Car Leasing options for tax-smart vehicle and running cost bundling.
Fully covered ClassPass membership credits for fitness, wellness, and beauty activities.
One-time office allowance payment to support home or remote workspace setups.
Flexible work perks including flexible hours, Culture Swap Days, and working from anywhere for 30 days annually.
Exclusive staff discounts on digital gift cards.
Wellbeing support covering mental, physical, social, and financial health via Telus.
Learning and development access through LinkedIn Learning, job shadowing, industry programs, and Lunch & Learn sessions.
Employee Resource Groups such as Pride and EmpowHer.
Parental leave offering 12 weeks for primary carers and 4 weeks for secondary carers.

About the Company

Prezzee is a global leader in digital gifting and payments that has facilitated the sale of over 140 million gift cards through partnerships with more than 1,500 brands, serving over 6 million customers worldwide. The organization leverages borderless payment technology and innovative digital solutions to help people connect and share memorable moments. Recognized repeatedly as a great place to work, Prezzee fosters a culture rooted in core values of openness, greatness, magic, ingenuity, and care, operating as an equal opportunity employer dedicated to diversity and inclusion.

How to Apply

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

Skills and tech stack

PyTorchAWSGCPAzureMLOps

Questions candidates ask

Where is this job located?

This position is located in Melbourne, Australia.

What department does this role belong to?

The Senior Machine Learning Engineer is part of the Fraud department.

What cloud platforms are required for model deployment?

Experience deploying machine learning models on cloud platforms such as AWS, GCP, or Azure is required.

What machine learning frameworks are mentioned in the requirements?

Expertise in machine learning frameworks such as PyTorch and Keras is required.

Are there perks related to wellbeing and learning?

Yes, employees receive wellbeing support through Telus and professional growth opportunities via LinkedIn Learning, industry programs, and Lunch & Learn sessions.

Ready to apply?

The application is on the official Prezzee careers page.

Apply on company site