Senior ML Engineer & Tech Lead — End-to-End AI Systems

Talentify; Alpharetta (GA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Healthcare packages

401k matching

Paid time off

Career growth platform

Job summary

Equifax is hiring a Machine Learning Engineer to design complex ML systems, guide teams, and drive end-to-end model development from ideation to deployment. The role emphasizes collaboration with product teams, executives, and peers to advance AI capabilities and innovative data engineering solutions.

The candidate should have 7+ years of experience, a STEM BS, and ideally a Master’s degree, with a strong preference for cloud certifications.

Qualifications

• 7+ years of related work experience, including proven experience leading a team of MLE, DS, SDE, DevOps, or related roles.
• Experience with end-to-end development of ML models, from ideation to deployment, ensuring best practices, scalability and reliability.
• Cloud Certification strongly preferred.

Responsibilities

• Design complex systems of systems for training and running machine learning models with industry best practice.
• Define projects and scope for teams of engineers and guide their completion.
• Develop, identify, and report intellectual property through patent applications, invention disclosures, white papers, and presentations.
• Collaborate with product team, architects, and others to understand AI/ML opportunities and limitations.
• Participate in peer design and code reviews; drive improvements and innovations.

Skills

Team leadership

ML model development

End-to-end ML lifecycle

Communication with executives

Mentoring/training

Education

BS in STEM

Master’s degree preferred

Tools

Cloud Certification

Job description

Equifax is hiring a Machine Learning Engineer to design complex ML systems, guide teams, and drive end-to-end model development from ideation to deployment. The role emphasizes collaboration with product teams, executives, and peers to advance AI capabilities and innovative data engineering solutions.

The candidate should have 7+ years of experience, a STEM BS, and ideally a Master’s degree, with a strong preference for cloud certifications.