Senior Software/ML Engineer

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.

Equifax is seeking creative, high-energy and driven software engineers with hands-on development skills to work on a variety of meaningful projects. Our software engineering 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 software engineer who is passionate about technology.

What you'll do

• Demonstrate a deep understanding of cloud native, distributed micro service based architectures
• Deliver solutions for complex business problems through software standard SDLC
• Build strong relationships with both internal and external stakeholders including product, business and sales partners
• Demonstrate excellent communication skills with the ability to both simplify complex problems and also dive deeper if needed
• Build and manage strong technical teams that deliver complex software solutions that scale
• Manage teams with cross functional skills that include software, quality, reliability engineers, project managers and scrum masters
• Provide deep troubleshooting skills with the ability to lead and solve production and customer issues under pressure
• Leverage strong experience in full stack software development and public cloud like Google Cloud Platform and AWS
• Mentor, coach and develop junior and senior software, quality and reliability engineers
• Lead with a data/metrics driven mindset with a maniacal focus towards optimizing and creating efficient solutions
• Ensure compliance with EFX secure software development guidelines and best practices and responsible for meeting and maintaining QE, DevSec, and FinOps KPIs
• Define, maintain and report SLA, SLO, SLIs meeting EFX engineering standards in partnership with the product, engineering and architecture teams
• Collaborate with architects, SRE leads and other technical leadership on strategic technical direction, guidelines, and best practices
• Drive up-to-date technical documentation including support, end user documentation and run books
• Lead Sprint planning, Sprint Retrospectives, and other team activity
• Responsible for implementation architecture decision making associated with Product features/stories, refactoring work, and EOSL decisions
• Create and deliver technical presentations to internal and external technical and non-technical stakeholders communicating with clarity and precision, and present complex information in a concise format that is audience appropriate

What experience you need

• Bachelor's degree or equivalent experience; a Master's Degree is preferred, especially with AI/ML coursework.
• 7+ years of software engineering experience, with a proven track record of writing, debugging, and troubleshooting code with high proficiency in Python. Experience with Django, TypeScript/JavaScript, HTML, and CSS is also valuable.
• 7+ years of experience with Cloud technology, specifically Google Cloud Platform and AWS.
• 7+ years of experience designing and developing cloud-native solutions and microservices using Python, Google Cloud Platform SDKs, and GKE/Kubernetes.
• 3+ years of experience with end-to-end development of ML models, from ideation to deployment, ensuring best practices, scalability, and reliability.
• Demonstrable experience working programmatically with various Data Engineering tool APIs in cloud environments, including:
  
  • Google Cloud Platform (Google Cloud Platform): Dataflow, Composer, BigQuery, Pub/Sub, Vertex AI
• Amazon Web Services (AWS): Glue, Kinesis, Redshift

What could set you apart

• You're a self-starter who can identify and respond to priority shifts with minimal supervision.
• You possess strong communication and presentation skills.
• You demonstrate strong leadership qualities, along with proven problem-solving skills and the ability to mentor and guide individuals to increase their skills.
• Strong expertise in Generative AI (GenAI), including:
  
  • A natural curiosity for domain knowledge of the business practices the AI/ML project is trying to solve.
  • Experience with popular GenAI models such as Gemini, ChatGPT, GROK, Claude, Llama, etc.
  • Experience using GenAI to accelerate development, generating documentation, and processing complex data for analysis
  • Experience creating and deploying AI agents to production environments.
  • Proven ability to develop multi-agent workflow-based, self-reflective, RAG, reactive, and tools agents.
  • A strong understanding of security in AI and responsible AI practices.
  • Strong familiarity with MLOps principles and practices, including automated training, deployment, and monitoring of models in production.
• Hands-on experience with Cloud ML/AI suite of tools
  
  • Google Cloud Platform (Google Cloud Platform): Gemini, Vertex AI Platform & Notebooks, Vision AI, Document AI, and BigQuery ML.
• Cloud Certification strongly preferred, particularly Google Cloud Platform (e.g., Professional Machine Learning Engineer, Professional Data Engineer) or AWS (e.g., Machine Learning Specialty, Data Analytics Specialty).
• Experience creating and maintaining product and software roadmaps.
• Experience working in a highly regulated environment.
• Experience working in Agile environments (e.g., Scrum, XP).
• Familiarity with relational databases such as PostgreSQL and SQL Server.
• Experience with Atlassian tooling (e.g., JIRA, Confluence, and GitHub).
• Proficiency with source code control management systems (e.g., SVN/Git, GitHub) and build tools like Maven & Gradle.

#LI-ES1

#LI-Hybrid

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

Primary Location:
USA-St. Louis-Lackland

USA-Atlanta JV White

Function:
Function - Tech Dev and Client Services

Schedule:
Full time