Lead MLOps Engineer -Fraud Detection Platform

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Easy Apply

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Job Details

Skills

Lead MLops engineer
Fraud Detection Platorm
GCP
Monitoring & Observability
Agentic AI
MLops

Summary

Lead MLOps Engineer - Fraud Detection Platform

Location: Dallas, TX (100% Onsite)

1 Year

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10110007
Position Id: 9051864
Posted 8 hours ago

Fitment

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Sujatha Gudivada

Recruiter @ Compugra Systems

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Dallas, Texas

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Today

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 MLOpsCI/CDModel DeploymentGo

Easy Apply

Full-time, Third Party

100,000

Dallas, Texas

•

Today

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 MLOpsCI/CDModel D

Easy Apply

Contract, Third Party

Depends on Experience

Dallas, Texas

•

Today

Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engin

Full-time

Irving, Texas

•

Today

Full-time

Job Details

Skills

Lead MLops engineer
Fraud Detection Platorm
GCP
Monitoring & Observability
Agentic AI
MLops

Summary

Lead MLOps Engineer - Fraud Detection Platform

Location: Dallas, TX (100% Onsite)

1 Year

Experience: 8-12 Years

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

Dice Id: 10110007
Position Id: 9051864
Posted 8 hours ago

Fitment

Dice Job Match Score™

🫥 Flibbertigibetting...

Contact the job poster

Sujatha Gudivada

Recruiter @ Compugra Systems

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Dallas, Texas

•

Today

Easy Apply

Full-time, Third Party

100,000

Dallas, Texas

•

Today

Easy Apply

Contract, Third Party

Depends on Experience

Dallas, Texas

•

Today

Full-time