Lead ML Architect: Systems, Scale & Deployment

Equifax, Inc.; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Equifax is seeking a Machine Learning Engineer to design complex systems for training and running ML models, applying best practices to ensure scalability, reliability, and performance. You will work with product teams, architects, and executives to define direction, set milestones, review designs, and deliver end-to-end solutions.

The ideal candidate has a BS in STEM (MS preferred), 7+ years of experience, proven leadership of ML/DS teams, and hands-on expertise in model development,

Qualifications

• BS degree in a STEM field; MS preferred.
• 7+ years of related work experience, including leading ML/DS teams.

Responsibilities

• Design complex systems for training and running ML models with best practices for scalability, reliability, and performance.
• Define projects and scope for teams of engineers and guide their completion.
• Develop, identify, and report IP through papers and presentations; potential for patents.
• Collaborate with product teams, architects, and executives to define technical direction and milestones.
• Lead end-to-end ML deployment from ideation to production and monitoring.

Skills

Team Leadership

ML Systems

End-to-End ML

Cloud Certification

Education

Bachelor's degree in STEM

Master's degree preferred

Tools

Cloud Certification

Job description

Equifax is seeking a Machine Learning Engineer to design complex systems for training and running ML models, applying best practices to ensure scalability, reliability, and performance. You will work with product teams, architects, and executives to define direction, set milestones, review designs, and deliver end-to-end solutions.

The ideal candidate has a BS in STEM (MS preferred), 7+ years of experience, proven leadership of ML/DS teams, and hands-on expertise in model development,