Lead MLOps Engineer - Fraud Detection Platform
Lorven Technologies Inc
Dallas, TX, United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
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
+1 more
Virtual Agents
Requirements
- 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.
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Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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