Full‑Stack Machine Learning 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. You will work across backend systems, model-serving infrastructure, and user-facing applications, collaborating with cross-functional teams to deliver scalable and reliable solutions.

• 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