Machine Learning Engineer

Equifax • Atlanta, GA

21d • Onsite

About The Position

Equifax is looking for a Machine Learning Engineer to join their team. This role involves designing complex systems for training and running machine learning models, defining project scopes, and guiding teams of engineers. The engineer will also be responsible for developing and reporting intellectual property, communicating effectively with colleagues and stakeholders, and contributing to all phases of product development and delivery. The position requires a strong technical vision and the ability to drive improvements and innovations. Additionally, the role involves elevating the performance of colleagues through training and mentoring, and potentially functioning as a team lead.

Requirements

• BS degree in a STEM major or equivalent job experience required
• 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

Nice To Haves

• Master’s Degree preferred
• AI/ML coursework preferred
• Cloud Certification Strongly Preferred
• Ability to review code for quality, performance, and efficiency, and optimize critical parts of the codebase
• Ability to establish the best practices of Software Development Life Cycle for the team
• Designing scalable and maintainable machine learning architectures and frameworks for the organization's products and services
• Ability to define the technical vision and roadmap for the MLE team aligned with the organization's goals and industry trends
• Deep understanding of the domain or industry in which the machine learning solutions are being applied, enabling the company to develop impactful big data solutions
• Proficiency in data architecture design, data strategy development, data orchestration, data integration, ETL development, data modeling, parallel processing and performance optimization.
• Being able to engage with internal stakeholders, including data scientists, business leaders, product managers, and executives, to understand requirements and present technical solutions
• Ability to collaborate with other teams, such as software engineering, data engineering, and business intelligence, to integrate machine learning solutions into larger systems.
• Ability to read and comprehend research papers in latest machine learning field, and applying innovative techniques to real-world problems
• Be able to lead and manage a team of machine learning engineers, data scientists, or related roles.
• Ability to set clear goals, provide guidance, and foster a collaborative and productive team environment

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
• Demonstrate effective, respectful, and honest communication when collaborating with colleagues including executives, customers, and peers from other businesses and institutions
• Contribute to all phases of product development and delivery from Analysis & Design all the way through to successful Deployment
• Deliver on company initiatives and prioritize projects supporting your long term technical vision
• Collaborate with the product team, architects, and others to understand the opportunities and limitations of AI, ML, and data engineering
• Participate in peer design and code reviews
• Show initiative to identify and drive forward improvements and innovations that add value and move the IT organization forward
• Elevate the performance of colleagues through training, mentoring, and promoting best practices; may function as a team lead

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree