Senior AI Engineer (Security Team)

Equifax - Alpharetta, GA

Full-time - Senior

Remote - Alpharetta, GA

Credit Intermediation and Related Activities

About the position

As a Senior AI Engineer in Security at Equifax, you will leverage your expertise in artificial intelligence and machine learning to develop innovative solutions for complex security challenges. This role involves working on critical risk-scoring and dashboard initiatives for our security organization. You will collaborate with a team to understand requirements, formulate algorithms, and build predictive models using machine learning and deep learning frameworks. Your responsibilities will include preprocessing data, ensuring data quality, and deploying AI models into production. You will utilize AI to evaluate system security, identify vulnerabilities, and generate recommendations for improvement. Additionally, you will adapt AI solutions to address emerging threats as technology evolves, working with large-scale structured and unstructured data. Monitoring AI solution performance and implementing enhancements will also be part of your role. In this position, you will utilize Google BigQuery/BQML and VertexAI for backend operations, write Bash/Powershell scripts, and develop APIs using Flask. You will implement data ingestion pipelines, design unit tests, analyze system issues, and collaborate with the DevSecOps team using Jenkins. Familiarity with modern software development practices such as CI/CD, Infrastructure-as-code, serverless computing, and microservices architecture is essential. This role requires a proactive approach to identifying and responding to security challenges with minimal supervision, ensuring that you can handle multiple tasks and meet deadlines effectively.

Responsibilities

• Collaborate with a team to understand requirements, formulate algorithms, and build predictive models using machine learning and deep learning frameworks.
• Preprocess data, ensure data quality, and deploy AI models into production.
• Utilize AI to evaluate system security, identify vulnerabilities, and generate recommendations for improvement.
• Adapt AI solutions to address emerging threats as technology evolves, working with large-scale structured and unstructured data.
• 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, design unit tests, analyze system issues, and collaborate with the DevSecOps team using Jenkins.
• Apply modern software development practices such as CI/CD, Infrastructure-as-code, serverless computing, and microservices architecture.

Requirements

• Bachelor's degree or equivalent experience.
• 7+ years of coding experience, debugging, and troubleshooting, primarily in Python.
• 1-3 years of experience applying AI to practical and comprehensive technology solutions.
• Deep understanding of machine learning and AI technologies (GCP or AWS), including the ability to design, train, and implement end-to-end machine learning models and use natural language processing techniques for automation.
• Creative and strategic thinking in applying AI/ML to security challenges, considering user experience, change management, and process reengineering.
• 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, Generative AI Studio and pre-trained APIs along with common AI/ML frameworks (like TensorFlow, PyTorch or other).
• Demonstrated proficiency in using containerization technologies.
• Knowledge of Pandas Python library for data processing, manipulation, 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, including ability to articulate complex technical concepts effectively both verbally and in writing.
• Ability to handle multiple tasks, meet deadlines, manage internal client expectations.
• Self-motivated with a proactive approach to identify and respond with minimal supervision.

Benefits

• Comprehensive compensation and healthcare packages.
• 401k matching.
• Paid time off.
• Organizational growth potential through our online learning platform with guided career tracks.