Machine Learning Engineer
Kasmo Global
Machine Learning Engineer Location: San Jose, CA/Chicago, IL Duration: 18 months contract with a possible extension What You'll Do • Redesign and optimize PayPal's MLOps and decision platform for fraud detection
- Architect large-scale big-data infrastructure to enable use of cutting-edge machine learning models for real-time fraud prevention.
- Collaborate with data scientists and platform engineers to automate workflow
- Provide solutions that ensure compliance, security, and maintainability across the fraud detection ecosystem.
- Work with high-dimensional datasets and leverage tools like Python, PySpark, and Big Query to develop robust workflows for fraud signal detection.
- Standardize rules and decision processes while enabling dynamic rule updates and analytics within the fraud detection platform.
- Collaborate across multidisciplinary teams in engineering, product development, and data science to scale solutions globally.
- Tasks will be distributed via our Jira board/sprint planning/grooming cycle.
- Team will have a regular standup on each task (at least twice a week but open for daily if needed or any blockers).
- During the onboarding, it would require more interactions with Engg/Product/US Risk core teams but once onboarded, it would be 50/50.
- Team work mostly within Jira board from tasks assignments and tracking.
- Code would be in our centralized GitHub repo.
- Updates/documentation would be either in wiki page or our SharePoint/share drive.
Vacancy posted 4 days ago
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