Experian
Financial Services
SeniorAIEngineerAI&CreditAnalytics
“Senior AI Engineer - AI & Credit Analytics at Experian. Skills: AI Systems, Credit Analytics, Generative AI, LLMOps. Build scalable AI systems. Automate credit analytics”
What You'll Achieve.
Embed AI into existing platforms; Deliver new AI-driven capabilities
Industry & Context.
What They're Looking For.
Must Have
Master's degree in Computer Science, Data Science, or a related quantitative field, or equivalent practical experience, 8+ years of professional experience in data science, machine learning, or AI engineering, to build and operate production-grade AI, ML, or Generative AI systems, Domain experience in financial services, with exposure to credit, lending, risk, or analytics-driven decisioning environments, Experience working in regulated or governed environments, with understanding of data governance, model risk management, regulatory compliance, and responsible AI practices, Hands-on experience developing Generative AI and LLM-based applications, including retrieval-augmented generation (RAG), prompt design, evaluation methods, and system optimization in production environments, Proficiency in Python, Proficiency in SQL
Nice to Have
Familiarity with modern Generative AI frameworks
What You'll Do.
Build scalable AI systems
Automate credit analytics
Enhance credit decisioning
Integrate AI solutions
Develop evaluation frameworks
Develop guardrail frameworks
Ensure response accuracy
Reduce hallucinations
Support human-in-the-loop review
Develop enterprise-grade AI services
Operate enterprise-grade AI services
Implement GenAI operational practices
Build CI/CD pipelines
Provide observability
Evaluate orchestration frameworks
Adopt cloud-native AI tools
Stay current with AI design patterns
How You'll Work.
Team & Collaboration
Partner with analytics teams; Partner with engineering teams; Partner with product teams
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