Senior ML Engineer & AI Systems Architect

Equifax; Atlanta (GA); On-site; USD 140,000 - 200,000; Full time

Job summary

Equifax seeks a seasoned Machine Learning Engineer to design complex ML systems, define project scopes, and guide teams from ideation to deployment. You will report IP via patents, and collaborate with executives, customers, and peers while mentoring others.

Strong leadership and a track record in end-to-end ML development are essential. The role emphasizes collaboration with product teams and data engineers, participation in code reviews, and driving innovations that advance the IT

Qualifications

• BS degree in a STEM field or equivalent job experience
• Master's Degree preferred; AI/ML coursework preferred
• 7+ years of related work experience, including leading a team of MLE/DS/SDE/DevOps
• Cloud Certification strongly preferred

Responsibilities

• Design complex systems of systems for training and running ML models with industry best practice
• Define projects and scope for teams of engineers and guide their completion
• Develop, identify, and report IP through patent disclosures, white papers, and presentations
• Demonstrate effective, respectful communication with executives, customers, and peers
• Contribute to all phases of product development from analysis to deployment
• Deliver on company initiatives and align projects with long-term technical vision
• Collaborate with product teams, architects, and data engineers on ML/AI opportunities
• Participate in peer design and code reviews
• Proactively drive improvements and innovations that add value to IT
• Elevate colleagues through mentoring and may function as a team lead

Skills

Team leadership

ML model development

ML deployment

Cloud computing

Code reviews

Collaboration

Mentoring

Communication

Education

Bachelor's degree in STEM

Master's degree preferred

Job description

Equifax seeks a seasoned Machine Learning Engineer to design complex ML systems, define project scopes, and guide teams from ideation to deployment. You will report IP via patents, and collaborate with executives, customers, and peers while mentoring others.

Strong leadership and a track record in end-to-end ML development are essential. The role emphasizes collaboration with product teams and data engineers, participation in code reviews, and driving innovations that advance the IT