Job title: Machine Learning Engineer
Company: Equifax
Job description: Work Location – Sydney/ MelbourneThis 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 doManage 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 needBachelor’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 ModelAdditional Leave Allocations + Public Holiday SwapsDiscounted Gym MembershipsDiscounted Private Health Cover (and discounted Pet Insurance if you want it!)Employee Stock Purchase PlanCareer Development and LearningA Diverse and Inclusive Workplace and EnvironmentWellbeing ResourcesPrimary Location: AUS-MelbourneAUS-Sydney-Blue-StreetFunction: Function – Data and AnalyticsSchedule: Full time
Expected salary:
Location: Melbourne, VIC
Job date: Wed, 05 Mar 2025 00:40:31 GMT
Apply for the job now!
