Machine Learning Engineer

Equifax

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Atlanta, GA
Posted
53 days ago
Freshness
Confirmed live 2 days ago
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $223k
$165k most similar roles pay here $276k

This listing doesn't post a salary. Most similar roles pay $192,050–$254,750.

Based on 240 similar postings.

Employer

About Equifax

Equifax is a global data, analytics, and technology company and one of the "Big Three" credit reporting agencies, specializing in consumer and commercial credit information.

Equifax currently has 19 open roles on FindRole.

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At a glance

TL;DR · Machine Learning Engineer

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Machine Learning Engineer The Machine Learning Engineer joins the team to design complex systems of systems for training and running machine learning models using industry best practices. This role involves defining project scopes for engineering teams, managing all phases of product development from analysis through deployment, and identifying intellectual property for patent applications. The candidate will collaborate with architects and product teams to navigate the opportunities and limitations of AI, ML, and data engineering while mentoring colleagues and leading technical roadmaps. Key requirements include experience in end-to-end model development, big data analytics, and cloud computing, specifically involving data architecture, orchestration, and ETL development. Technical skills include advanced mathematics for interpreting research papers and proficiency in software development life cycle best practices to ensure scalable, maintainable machine learning architectures and high-performance code across the organization's products and services.

What does a Machine Learning Engineer earn?

Median $236000 from 319 postings across 54 companies.

See salary data

Skills

Machine Learning Artificial Intelligence Big Data Analytics Cloud Computing Data Engineering ETL Data Modeling Software Development Life Cycle Data Orchestration Parallel Processing

What you'll do

  • Design complex systems of systems for training and running machine learning models using industry best practices.
  • Define project scopes for engineering teams and guide them through successful completion.
  • Develop, identify, and report intellectual property through patent applications, white papers, and presentations.
  • Manage the end-to-end development of ML models from ideation to deployment while ensuring scalability and reliability.
  • Design scalable and maintainable machine learning architectures and frameworks for organizational products and services.
  • Lead and manage a team of machine learning engineers, data scientists, and related technical roles.
  • Perform peer design and code reviews to ensure quality, performance, and efficiency.
  • Define the technical vision and roadmap for the machine learning engineering team aligned with company goals.

What we're looking for

  • A Bachelor's degree in a STEM major or equivalent job experience is required.
  • A Master's degree and AI/ML coursework are preferred.
  • 7+ years of related work experience is required.
  • Proven experience leading teams of machine learning engineers, data scientists, software engineers, or DevOps roles is required.
  • Experience with end-to-end development of ML models from ideation to deployment is required.
  • Cloud certification is strongly preferred.
  • Ability to design scalable machine learning architectures and define technical roadmaps for the team.
  • Proficiency in cloud computing including data architecture, ETL development, and performance optimization.

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