Machine Learning Engineer, Remote

Experian

91d

About The Position

Experian is looking for a Machine Learning Software Engineer to join the Experian Assistant team—a GenAI-powered platform that delivers intelligent automation, client engagement, and fraud detection capabilities. You will help build agentic workflows, improve prompt engineering strategies, and integrate the latest LLMs using SDKs like OpenAI's Responses API and Experian's internal Arabica SDK. You will report into the Engineering Director.

Requirements

• Bachelor's degree in Computer Science, Machine Learning, or related field.
• 3+ years of experience in ML engineering or backend development with Python (3.8–3.12).
• Hands-on experience with LLM integration, prompt engineering, and agentic frameworks (e.g., OpenAI Responses API, LangChain).
• Experience with RESTful APIs, and microservices.
• Experience with DevOps best practices, including infrastructure as code, observability, and security.
• Knowledge of RBAC, audit logging, and version control for ML functions and libraries.
• Experience with AWS, Docker, and Kubernetes

Responsibilities

• Architect agentic workflows allowing multi-agent orchestration across Experian Assistant features
• Design and improve prompts for LLMs, and analytics feedback systems
• Integrate and evaluate LLMs (e.g., GPT-4, GPT-5, Claude, Llama) for Assistant use cases including Code Advisor, Analytics Expert, and Data Tutor
• Collaborate with teams to implement latency-optimized solutions and support parallel model onboarding
• Contribute to deployment documentation and release planning using Confluence and internal PR tracking systems.
• Ensure code through automated testing, code reviews, and continuous integration pipelines.
• Maintain deployment pipelines and ensure testing for beta clients, including glossary expansion and sandbox integration

Benefits

• Great compensation package and bonus plan
• Core benefits including medical, dental, vision, and matching 401K
• Flexible work environment, ability to work remote, hybrid or in-office
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree