Equifax
Equifax

Generative AI Engineer

Atlanta, GA, US • Posted 30+ days ago • Updated 5 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Generative Artificial Intelligence (AI)
  • Collaboration
  • Analytical Skill
  • Data Management
  • Reporting
  • Data Quality
  • Mentorship
  • Programming Languages
  • Python
  • SQL
  • Scripting
  • Extract
  • Transform
  • Load
  • Optimization
  • Git
  • Vertex
  • Machine Learning (ML)
  • Cloud Computing
  • Linux
  • Operating Systems
  • Natural Language Processing
  • Deep Learning
  • Credit Risk
  • Finance
  • Data Analysis
  • Modeling
  • Big Data
  • Google Cloud
  • Google Cloud Platform
  • Amazon Web Services
  • Snow Flake Schema
  • Apache Hadoop
  • Business Intelligence
  • Data Visualization
  • Data Governance
  • SEC
  • Regulatory Compliance
  • Machine Learning Operations (ML Ops)
  • Continuous Integration
  • Continuous Delivery
  • Workflow
  • Artificial Intelligence
  • Publications
  • Open Source
  • Presentations
  • Health Care
  • Online Learning
  • Analytics

Summary

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

What you'll do

  • Apply the knowledge of data characteristics and data supply pattern, develop rules and tracking process to support data quality model.
  • Prepare data for analytical use by building data pipelines to gather data from multiple sources and systems.
  • Integrate, consolidate, cleanse and structure data for use by our clients in our solutions.
  • Perform design, creation, and interpretation of large and highly complex datasets.
  • Stay up-to-date with the latest trends and advancements in Google Cloud Platform and related technologies, actively proposing and evaluating new solutions.
  • Understand best practices for data management, maintenance, reporting and security and use that knowledge to implement improvements in our solutions.
  • Implement security best practices in pipelines and infrastructure.
  • Develop and implement data quality checks and troubleshoot data anomalies.
  • Provide guidance and mentorship to junior data engineers.
  • Review dataset implementations performed by junior data engineers.

What experience you need

  • BS degree in a STEM major or equivalent discipline; Master's Degree strongly preferred
  • 5+ years of experience as a data engineer or related role
  • Cloud certification strongly preferred
  • Advanced skills using programming languages such as Python or SQL and intermediate level experience with scripting languages
  • Intermediate level understanding and experience with Google Cloud Platforms and overall cloud computing concepts, as well as basic knowledge of other cloud environments
  • Experience building and maintaining moderately-complex data pipelines, troubleshooting issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects
  • Experience designing and implementing moderately complex data models and experience enabling optimization to improve performance
  • Demonstrates advanced Git usage and CI/CD integration skills

What could set you apart
  • Master's degree in a related field is a strong plus
  • Exposure in Vertex AI, Google Cloud Platform AI/ML services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud technology
  • Strong foundational skills in Linux Operating System.
  • Understanding of NLP, deep learning, and generative architectures (Transformers, Diffusion Models, etc.)
  • Background in credit risk, financial data analytics or risk modeling.
  • Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake, Hadoop)
  • Experience in Business Intelligence, data visualization, and customer insights
  • generation.
  • Familiarity with data governance, model bias mitigation, and regulatory frameworks (GDPR, AI Act, SEC compliance).
  • Experience with MLOps practices, model monitoring, and CI/CD for AI workflows.
  • Knowledge of prompt tuning, fine-tuning, and parameter-efficient methods (LoRA, PEFT).
  • Hands-on experience with RAG, multi-modal AI, and hybrid AI architectures.
  • Contributions to the AI community through publications, open-source projects, or conference presentations.

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

Primary Location:
USA-Atlanta-One-Atlantic-Center

USA-Atlanta JV White

Function:
Function - Data and Analytics

Schedule:
Full time
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10184596
  • Position Id: 23c664c0e798ced5f868ab8e75fbd2c5
  • Posted 30+ days ago
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