Machine Learning Engineer - Fraud Detection

Position: Machine Learning Engineer - Fraud Detection Location: Dallas, TX (Hybrid) Duration: Long Term Contract Description: Bachelor's degree or Masters Degree in Computer science, or a related field, with minimum 12+ Years of relevant experience. Role Summary We are looking for a Machine Learning Engineer to build and support production-grade fraud detection solutions. The role focuses on real-time inference, feature engineering, APIs, graph-based fraud detection, and production deploy

Hiring: Machine Learning Engineer Fraud Detection Location: Dallas, TX 100% Onsite Contract: 1 Year Experience: 8 12 Years We are looking for a strong Machine Learning Engineer with experience building and supporting production-grade fraud detection solutions. Key Skills Python & Machine Learning Real-Time / Low-Latency Inference REST APIs & Microservices Google Cloud Platform & Databricks Neo4j / Graph Databases Feature Stores & Feature Engineering Data Pipelines & Data Engineering MLOps,

Role: Lead MLOps Engineer - Fraud Detection Platform Location: Dallas, TX (100% Onsite) 6-12 months Experience: 8-12 Years Job Summary: We are seeking a Lead MLOps Engineer to build and manage enterprise-scale fraud detection platforms. The candidate will be responsible for designing scalable ML deployment frameworks, automating model release processes, and ensuring production reliability, monitoring, and governance across fraud detection systems. Required Skills Primary Skills MLOpsCI/CDModel D

Role: Lead MLOps Engineer - Fraud Detection Platform Location: Dallas, TX (100% Onsite) Experience:8-12 Years Job Summary:We are seeking a Lead MLOps Engineer to build and manage enterprise-scale fraud detection platforms. The candidate will be responsible for designing scalable ML deployment frameworks, automating model release processes, and ensuring production reliability, monitoring, and governance across fraud detection systems. Required Skills Primary Skills MLOpsCI/CDModel DeploymentGo