Description:
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