Equifax is looking to add a Machine Learning Engineer to design complex systems for training and running machine learning models, define projects, and contribute to all phases of product development and delivery.
Requirements
- Experience with end-to-end development of ML models, from ideation to deployment, ensuring best practices, scalability and reliability
- 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
- Proficiency in data architecture design, data strategy development, data orchestration, data integration, ETL development, data modeling, parallel processing and performance optimization.
- Ability to read and comprehend research papers in latest machine learning field, and applying innovative techniques to real-world problems
Responsibilities
- Design complex systems of systems for training and running machine learning models with industry best practice
- Develop, identify, and report intellectual property through patent applications, invention disclosures, white papers, and presentations
- Contribute to all phases of product development and delivery from Analysis & Design all the way through to successful Deployment
- 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
Other
- Define projects and scope for teams of engineers and guide their completion
- Demonstrate effective, respectful, and honest communication when collaborating with colleagues including executives, customers, and peers from other businesses and institutions
- Deliver on company initiatives and prioritize projects supporting your long term technical vision
- 7+ years of related work experience, including proven experience leading a team of MLE, DS, SDE, DevOps, or related roles
- Cloud Certification Strongly Preferred
