Machine Learning Engineer

October 2

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Experian

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Artificial Intelligence • B2B • SaaS

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

10001 employees

Founded 1996

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

📋 Description

• 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

🎯 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

🏖️ 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