Machine Learning Engineer

4 days ago

Melbourne, Victoria, Australia Equifax, Inc. Full time

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

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