Machine Learning Engineer

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Work Location - Sydney/ Melbourne 

This role is required to maintain the lifecycle of models developed by the Data Science chapter and develop APIs/systems on top of these models. Machine Learning Engineer (MLE) will deploy models across various platforms (A2P/GME, and batch) as needed, manage end-to-end pipelines, logs, and address queries and issues. 

What you’ll do

• Manage project progress, metadata collection, and data development with minimal supervision, ensuring timely and accurate delivery.

• Maintain and organize information within documentation repositories.

• Conduct investigations into internal and external stakeholder queries, operating under the guidance of the Team Leader.

• Analyze problems, identify root causes, and formulate clear findings and observations.

• Propose effective resolutions and communicate results to stakeholders, with moderate guidance.

• Maintain up-to-date knowledge of industry regulatory requirements, including reporting mandates and compliance standards.

• Provide support for internal and external inquiries related to data standards.

• Perform intermediate-level data quality checks, adhering to established procedures.

• Follow established security protocols to protect sensitive data.

• Identify and report potential security vulnerabilities.

What experience you need 

• Bachelor's degree in STEM or related field (Master's preferred).

• 2+ years of data engineering or related experience.

• Proficiency in Python, SQL, or scripting languages (intermediate level).

• Basic understanding of Google Cloud Platform (GCP) and cloud computing.

• Experience building and maintaining basic data pipelines.

• Experience supporting data model design and implementation.

• Proficient Git usage and contribution to team repositories.

• Cloud certification (strongly preferred)

What could set you apart

• GCP and extensive Python experience
• Interest in and experience in Data and Data Science, modelling, and AI

What’s in it for you? 

At Equifax, we are on a mission to ensure that you have the support, resources and opportunities to Power Your Possible. Here are just a few ways we give back to our teams:

• Hybrid Work Model 

• Additional Leave Allocations + Public Holiday Swaps 

• Discounted Gym Memberships

• Discounted Private Health Cover (and discounted Pet Insurance if you want it!) 

• Employee Stock Purchase Plan 

• Career Development and Learning

• A Diverse and Inclusive Workplace and Environment 

• Wellbeing Resources

Primary Location:

AUS-MelbourneAUS-Sydney-Blue-Street

Function:

Function - Data and Analytics

Schedule:

Full time