Lead MLOps Engineer - Fraud Detection Platform

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

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

Key Responsibilities

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