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# Lead MLOps Engineer -Fraud Detection Platform

- **Company:** Compugra Systems
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Continuous Integration, Information Engineering, DevOps, Fraud Prevention and Detection, Monitoring of Systems, Performance Tuning, Reliability Engineering, Azure Machine Learning, Google Cloud, Feature Engineering, System Availability, Kubernetes, Infrastructure Automation Frameworks, Machine Learning Operations, Virtual Agents
- **Published:** August 12, 2026
- **Apply:** https://www.dice.com/job-detail/ecd822cd-dab1-4e11-b205-42462b7317ae

## About the Role

Primary Skills

 * MLOps
 * CI/CD
 * Model Deployment
 * Google Cloud Platform
 * Monitoring & Observability
 * Agentic AI Architecture

Secondary Skills

 * Kubernetes
 * Infrastructure Automation
 * Security Controls
 * Site Reliability Engineering (SRE)
 * DevOps

## Description

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., * Design and implement enterprise MLOps platforms and deployment standards.

 * Build model registry and automated release pipelines.
 * Automate model deployment and rollback mechanisms.
 * Establish end-to-end monitoring, alerting, and observability.
 * Manage feature store and inference infrastructure.
 * Ensure platform reliability, scalability, and performance.
 * Implement governance, compliance, and audit controls.
 * Drive production readiness and operational excellence across ML services.

Responsibilities Area

 * ML Solution Design & Architecture
 * Model Deployment & Production Operations
 * Performance Optimization
 * Data Engineering & Feature Engineering
 * Monitoring & Continuous Improvement
 * Platform Governance & Security


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