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.

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

Key Skills

Education

Any Graduate