Equifax is seeking a Python Developer to work on a variety of meaningful projects, developing, testing, and deploying high-quality Python code for AI/ML applications, data pipelines, and backend services. The role involves designing, implementing, and optimizing Machine Learning models and algorithms, collaborating with data scientists, building data pipelines, and troubleshooting ML systems for performance and scalability.
Requirements
- 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.
- Experience with statistics, big data analysis, ML model development, and popular ML frameworks.
- Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others
- Atlassian tooling (e.g. JIRA, Confluence, and Github)
Responsibilities
- 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.
Other
- Bachelor's degree or equivalent experience
- Self-starter that identifies/responds to priority shifts with minimal supervision.
- Agile environments (e.g. Scrum, XP)
- Participate in a tight-knit, globally distributed engineering team.
- Manage sole project priorities, deadlines, and deliverables.
