Lead MLOps Engineer Fraud Detection

Location

Austin, Texas, United States

Salary

Not specified

Company

Akash pawar

Job description

We are seeking a Lead MLOps Engineer with 10 to 12 years of experience to design, build, and manage enterprise-scale ML and Fraud Detection platforms. The ideal candidate will be responsible for end-to-end model deployment, automated CI/CD pipeline creation, model governance, and robust production monitoring within a Google Cloud Platform (GCP) environment. Core duties include establishing MLOps deployment standards, developing feature store and inference infrastructure, implementing monitoring and alerting frameworks, and ensuring production system reliability and scalability. Exposure to Agentic AI architecture, Kubernetes, DevOps/SRE practices, and ML governance is highly preferred for this 100% on-site role in Austin, Texas.