Platform Engineer

Role: Lead MLOps Engineer - Fraud Detection Platform Location: Dallas, TX (100% Onsite)
Experience: 8-12 Years

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.

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

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

• 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.

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

For applications and inquiries,