Equifax-posted 2 months ago
Full-time • Mid Level
5,001-10,000 employees

Equifax is seeking a creative, high-energy and driven Python Developer with hands-on development skills to work on a variety of meaningful projects. Our positions provide you the opportunity to join a team of talented engineers working with leading-edge technology. You are ideal for this position if you are a forward-thinking, committed, and enthusiastic python developer who is passionate about technology.

  • Develop, test, and deploy high-quality Python code for AI/ML applications, data pipelines, and backend services.
  • Design, implement, and optimize Machine Learning models and algorithms for various business problems.
  • Collaborate with data scientists to transition experimental models into production-ready systems.
  • Build and maintain robust data ingestion and processing pipelines to feed data into ML models.
  • Perform code reviews, provide constructive feedback, and ensure adherence to best coding practices.
  • Troubleshoot, debug, and optimize existing ML systems and applications for performance and scalability.
  • Document technical designs, processes, and operational procedures.
  • Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality.
  • Participate in a tight-knit, globally distributed engineering team.
  • Manage sole project priorities, deadlines, and deliverables.
  • Research, create, and develop software applications to extend and improve on Equifax Solutions.
  • Collaborate on scalability issues involving access to data and information.
  • Bachelor's degree or equivalent experience.
  • 5+ years of Python developing experience.
  • 5+ years experience with Cloud technology: GCP, AWS, or Azure.
  • 5+ years experience designing and developing cloud-native solutions.
  • 5+ years experience with the various Python frameworks currently in use to leverage software development processes.
  • Self-starter that identifies/responds to priority shifts with minimal supervision.
  • Experience with statistics, big data analysis, ML model development, and popular ML frameworks.
  • Stay up-to-date with the latest advancements in Python, machine learning, and related technologies.
  • Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others.
  • Agile environments (e.g. Scrum, XP).
  • Atlassian tooling (e.g. JIRA, Confluence, and Github).
  • Comprehensive compensation and healthcare packages.
  • 401k matching.
  • Paid time off.
  • Organizational growth potential through our online learning platform with guided career tracks.
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