Machine Learning Engineer

Equifax

Actively hiring Posted this week Verified listing
Atlanta, GA Posted 2 days ago
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How this pay compares to similar roles

Similar $212k
$150k most similar roles pay here $270k

This listing doesn't post a salary. Most similar roles pay $174,218–$249,750.

Based on 239 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 24 open roles on FindRole.

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At a glance

TL;DR

As a Machine Learning Engineer at Equifax’s Identity and Fraud business, you will join a dynamic team to tackle complex technological challenges by designing and implementing robust software solutions that enhance automated decision-making processes. Your daily tasks include collaborating with data scientists to develop innovative algorithms, building performant data pipelines, and creating scalable microservices for internal and external use. You will leverage technologies such as Golang, Python, SQL, AWS services like Lambda and EKS, and machine learning frameworks including TensorFlow and MLflow to ensure high-quality software craftsmanship. This role involves working on large-scale systems that require low-latency model inference, adhering to best practices in security and architecture, and participating in peer reviews and on-call rotations.

Skills

Python Golang AWS Terraform RESTful APIs gRPC Microservices SparkMLlib Scikit-Learn TensorFlow ONNX MLeap Snowflake AWS EMR CI/CD DataDog

What you'll do

  • Design and develop platforms and pipelines for machine learning models.
  • Productionize ML models by building efficient data transformations and storage solutions.
  • Develop and maintain microservices to serve model features and scores to internal and external customers.
  • Apply best practices in development, testing, and software craftsmanship to ensure solution quality.
  • Identify and implement iterative improvements to legacy model platforms and governance stacks.
  • Participate in peer design reviews and on-call rotations with other engineers.

What we're looking for

  • 3+ years of experience in software engineering and architecture using Golang, Python, and SQL.
  • Proven ability to build RESTful APIs and gRPC within a distributed microservice architecture.
  • 2+ years of hands-on experience with Amazon Web Services (IAM, Lambda, EKS, Neptune, DynamoDB, RDS).
  • Experience implementing machine learning frameworks like SparkMLlib, Scikit-Learn, MLflow, or TensorFlow.
  • Capability to serve ML model inference at scale in low-latency environments (<30ms).
  • Expertise in metrics, logging, and evaluating model performance using tools like DataDog.

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