Lead MLOps Engineer Fraud Detection Platform
Overview
Own end to end ML deployment frameworks for enterprise scale fraud detection systems at Compugra Systems in Dallas Texas. Drive scalability reliability and governance while leading cross functional teams.
What You'll Do8
- 1Design Build and Scale ML deployment frameworks for fraud detection platforms
- 2Automate model release processes using CI CD pipelines
- 3Implement monitoring and governance solutions for production models
- 4Optimize pipeline efficiency through debugging and process improvements
- 5Scale infrastructure using Kubernetes and AWS services
- 6Drive adoption of best practices in MLOps and cloud architecture
- 7Collaborate with data scientists and engineers to align technical strategies
- 8Ensure compliance with security standards and regulatory requirements
Requirements9
- 15+ years experience building MLOps pipelines with Spark and Airflow
- 23-5 seasons leading large scale machine learning initiatives
- 3AWS Certified Solutions Architect professional level certification
- 4CPC Card certification preferred
- 5Python expertise for scripting and automation tasks
- 6Kubernetes proficiency for container orchestration
- 7React development skills for dashboard interfaces
- 8Go programming language familiarity for backend services
- 9Proven track record of delivering production ready ML solutions
Salary Insight
Salary not disclosed in listing
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