Machine Learning Engineer/AI Engineer

LexisNexis Risk Solutions is seeking a Full-Stack Machine Learning Engineer to build and deploy ML-powered services, tools, and applications for fraud and identity analytics. This role involves working across backend services, model-serving pipelines, and user interfaces, with a focus on developing ML inference APIs, full-stack tools for model evaluation, and integrating models into real-time production systems.

• Develop ML inference APIs, microservices, and data/feature pipelines
• Build full-stack tools for model evaluation and transparency
• Integrate ML models into real-time production systems
• Implement automated training, monitoring, and evaluation workflows
• Own DevOps and security standards for assigned services
• Collaborate with data scientists, architects, and QA