Machine Learning Engineer Fraud Detection

Role: Machine Learning Engineer - Fraud Detection Location: Dallas, TX (Local Candidate) 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 deployment support. Key Skills Machine Learning Engineering and Real-Time Inference Python, APIs, and Microservices Google Cloud Platform and Databricks Neo4j / Graph Datab

Hi Our client is looking for a MLOps Engineer project in Dallas, TX below is the detailed requirement. Job positing Title: Lead MLOps Engineer - Fraud Detection Platform Location: Dallas, TX Required Skills: MLOps,CI/CD,Model Deployment,Google Cloud Platform,Monitoring & Observability,Agentic AI Architecture Job description: 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 deployme

Job Title: ML Engineer Location: Remote Job Description ML Engineer Job Summary We are seeking a talented AI/ML Engineer to design, develop, deploy, and maintain machine learning models and AI-powered applications. The ideal candidate will have strong expertise in Python, machine learning algorithms, data processing, and model deployment. You will work closely with data scientists, software engineers, and business stakeholders to build scalable AI solutions that solve real-world business problem

*Only W2 profile* We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and optimize scalable machine learning solutions. The ideal candidate will have strong experience in supervised and unsupervised learning, deep learning, NLP, MLOps, and Azure cloud technologies. You will collaborate with data scientists, software engineers, and business stakeholders to build production-ready AI/ML applications. Key ResponsibilitiesDesign, develop, and deploy machine learning