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 Databases and Feature Stores

Data Pipelines and Feature Engineering

MLOps, Monitoring, and Production Support

Agentic AI Architecture (good to have)

Required Qualifications

Hands-on experience in Python and ML model deployment.

Experience with APIs, microservices, and production ML systems.

Knowledge of data pipelines, data engineering, and feature stores.

Exposure to Google Cloud Platform, Databricks, Data Lake, or Data Warehouse platforms.

Basic understanding of MLOps, monitoring, and release support.

Good communication and problem-solving skills.