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Machine Learning Engineer - Job Opportunity at Equifax

Sydney/Melbourne, Australia
Full-time
Mid-level
Posted: March 4, 2025
Hybrid
AUD 120,000 - 160,000 based on Sydney/Melbourne market rates for mid-level ML Engineers in financial services

Benefits

Hybrid work arrangement providing optimal work-life balance with flexibility
Comprehensive healthcare package with private health coverage extending to pet insurance - above market standard
Employee Stock Purchase Plan enabling direct company ownership and investment
Extended leave allocations and public holiday swap options offering enhanced flexibility
Subsidized gym memberships promoting wellness and work-life balance
Robust career development and learning programs supporting professional growth

Key Responsibilities

Lead end-to-end model deployment and lifecycle management across multiple platforms including A2P/GME
Architect and maintain scalable data pipelines with focus on performance optimization and monitoring
Drive metadata management and documentation strategies ensuring compliance and knowledge retention
Conduct root cause analysis and problem resolution for complex technical issues
Ensure regulatory compliance and security protocols for sensitive data handling
Develop and maintain APIs integrating machine learning models into production systems

Requirements

Education

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

Experience

2+ years of data engineering or related experience

Required Skills

Python SQL Google Cloud Platform (GCP) Git Data pipeline development Data model design Cloud computing

Certifications

Cloud certification (strongly preferred)
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Sauge AI Market Intelligence

Industry Trends

Increasing demand for MLOps expertise as organizations scale their AI initiatives and require robust production deployment capabilities Growing emphasis on automated pipeline development and monitoring systems in financial services sector Rising importance of cloud-native development practices and multi-cloud deployment capabilities Heightened focus on data security and compliance in financial services, particularly in Australia's regulatory environment

Role Significance

Likely part of a 5-8 person ML engineering team within a larger data organization
Mid-level position with significant technical responsibility but moderate strategic input

Key Projects

Model deployment automation and monitoring system implementation Development of scalable APIs for model serving Implementation of automated testing and validation frameworks Security and compliance infrastructure development

Success Factors

Strong understanding of MLOps practices and production deployment challenges Ability to balance technical excellence with business requirements and compliance needs Excellent collaboration skills working with data scientists and other engineering teams Proactive approach to security and regulatory compliance

Market Demand

High demand with growing competition for ML Engineers who can bridge the gap between data science and production engineering

Important Skills

Critical Skills

Python development with focus on ML deployment and API development GCP expertise particularly in ML deployment and monitoring Understanding of data security and compliance requirements Experience with automated pipeline development and maintenance

Beneficial Skills

Knowledge of financial services domain and regulations Experience with multiple cloud platforms Familiarity with distributed systems and high-availability architectures Understanding of ML monitoring and drift detection

Unique Aspects

Opportunity to work with large-scale financial data sets and real-world ML applications
Strong focus on regulatory compliance and security unusual for ML engineering roles
Combination of traditional financial services stability with modern ML engineering practices

Career Growth

2-3 years in role before progression to senior level, with team lead opportunities in 4-5 years

Potential Next Roles

Senior Machine Learning Engineer MLOps Team Lead Technical Architecture Specialist Data Platform Engineer

Company Overview

Equifax

Equifax is a global data, analytics, and technology company operating in 24 countries with a strong presence in credit reporting and financial services

Major player in financial data services with significant market share in Australia and globally
Strategic APAC operations with growing investment in ML capabilities
Enterprise environment with strong emphasis on security, compliance, and systematic processes
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