> Markdown version of [/jobs/ext/2550910-lead-mlops-engineer-fraud-detection-platform](https://www.wearedevelopers.com/jobs/ext/2550910-lead-mlops-engineer-fraud-detection-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead MLOps Engineer - Fraud Detection Platform - **Company:** Lorven Technologies Inc - **Location:** Dallas, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Application Release Automation, Cloud Engineering, DevOps, Fraud Prevention and Detection, Machine Learning, Azure Machine Learning, AI Infrastructure, Google Cloud, Kubernetes, Information Technology, Machine Learning Operations, Virtual Agents - **Published:** August 15, 2026 - **Apply:** https://www.dice.com/job-detail/5e66244e-5544-4331-ab4f-3cab4eb17ecb ## About the Role * Bachelor's degree in computer science, Information Technology, or a related field * 8-12 years of experience in MLOps, DevOps, or ML Platform Engineering. * Strong experience building enterprise-scale ML deployment platforms. * Expertise in Google Cloud Platform services and cloud-native AI infrastructure. * Hands-on experience with CI/CD pipelines for ML model lifecycle management. * Experience designing model registries and release automation frameworks. * Strong Kubernetes and container orchestration experience. * Expertise in monitoring, observability, and production support. * Experience implementing governance, compliance, and security controls. * Knowledge of Agentic AI architectures and AI operational frameworks. * Experience supporting high-volume fraud detection or risk platforms preferred. ## Related Videos - [From Traction to Production: Maturing your LLMOps step by step](https://www.wearedevelopers.com/videos/1250-from-traction-to-production-maturing-your-llmops-step-by-step) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)