Equifax - Alpharetta, GA

posted 13 days ago

Full-time
Remote - Alpharetta, GA
Credit Intermediation and Related Activities

About the position

As an AI Engineer in Security at Equifax, you will utilize your expertise in artificial intelligence and machine learning to create innovative solutions for complex security challenges. This role involves working on critical risk-scoring and dashboard initiatives, collaborating with teams to develop predictive models, and deploying AI solutions to enhance system security.

Responsibilities

  • Collaborate with a team to understand requirements and formulate algorithms.
  • Build predictive models using machine learning and deep learning frameworks.
  • Preprocess data and ensure data quality for AI model deployment.
  • Utilize AI to evaluate system security and identify vulnerabilities.
  • Generate recommendations for security improvements based on AI evaluations.
  • Adapt AI solutions to address emerging threats in technology.
  • Monitor AI solution performance and implement enhancements.
  • Utilize Google BigQuery/BQML and VertexAI for backend operations.
  • Write Bash/Powershell scripts and develop APIs using Flask.
  • Implement data ingestion pipelines and design unit tests.
  • Analyze system issues and collaborate with the DevSecOps team using Jenkins.
  • Apply modern software development practices such as CI/CD and microservices architecture.

Requirements

  • Bachelor's degree or equivalent experience.
  • 5+ years of coding experience, primarily in Python.
  • 1+ years of experience applying AI to practical technology solutions.
  • Understanding of machine learning and AI technologies (GCP or AWS).
  • Ability to design, train, and implement end-to-end machine learning models.
  • Experience using natural language processing techniques for automation.
  • Experience developing applications using web frameworks like Flask.
  • Experience deploying AI solutions using Jenkins and CI/CD pipelines.
  • Experience in data handling, management, and ETL processes.
  • Experience with data extraction using API calls.
  • Experience with big data processing solutions using BigQuery, PubSub, GCS, and others.
  • Proficiency using source code control management systems like Github.

Nice-to-haves

  • Experience with cloud service providers such as GCP or AWS, particularly BigQuery.
  • Experience with Angular, JavaScript, JSON, XML, Powershell.
  • Experience with GCP and/or AI technologies including Vertex AI, BigQuery ML, and Generative AI Studio.
  • Demonstrated proficiency in using containerization technologies.
  • Knowledge of Pandas Python library for data processing and analysis.
  • Familiarity with Looker Studio or similar data integration tools.
  • Prior experience developing Operational or Security Metrics.
  • Knowledge of Security Domain and Controls.
  • Experience working with ServiceNow CMDB / ITAM.
  • Experience in Agile methodologies (e.g. Scrum, XP).
  • Excellent verbal and written communication skills.

Benefits

  • Flexible work schedule with remote work options on Mondays and Fridays.
  • Weekly onsite expectations on Tuesdays, Wednesdays, and Thursdays.
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