Equifax
Machine Learning Engineer
USA - Georgia - Alpharetta - 30005 · 29d ago
Sponsorship2+ YOE
Quick summary
AI parsed- Experience
- BS in STEM or equivalent; 2-5 years related experience; Proficiency in Python, Pandas, Numpy, Scipy, Sklearn, TensorFlow, PyTorch; Experience with ML model design/development/deployment; Cloud platforms and distributed computing; Complex SQL and large-scale data pipelines; Deep learning systems architecture (TensorFlow preferred)
- Arrangement
- hybrid
Responsibilities
- Design and build high-throughput data pipelines (e.g., BigQuery to TFRecords) for distributed training and inference
- Partner with applied data scientists to translate complex prototypes into clean, modular, scalable production-ready code
- Productionize machine learning models by building performant data transformations, storage, and pipelines
- Apply development and testing best practices to produce maintainable, scalable, quality solutions
Benefits
Comprehensive compensation and healthcare packages · 401k matching · Paid time off · Organizational growth potential through online learning platform with guided career tracks
Full description
Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Job Description
Equifax is looking for a Machine Learning Engineer to join our Data and Analytics Center of Excellence (D&A COE). In this role, you will serve as the critical engineering bridge between advanced AI research and robust, scalable model development. Your primary mandate is to accelerate our R&D lifecycle by engineering high-performance training pipelines and unlockin…