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MLOps Engineer

Openkyber

Role: Lead MLOps Engineer - Fraud Detection Platform



Location: Dallas, TX (100% Onsite)



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

For applications and inquiries, contact:View email address on us.fitly.work

Vacancy posted 2 days ago
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