Need Machine Learning Engineer III / MLOps

Role: Machine Learning Engineer III / MLOps
Duration: 18 months
Location: Sanjose-CA Job Description:
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 BigQuery 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 Team: Will work with Core Automation team s Tech leads/managers closely
Rebuild together with Engineer teams on our next generation risk platform (NGRP)
You will be part of our pioneer working team to launch our NGRP Nice to Have: Risk and Fraud experience or business acumen; experience working directly with
Engineers Top 3 Skills:
BigQuery, Python
Understand the production systems architect and offline data overview
Machine Learning experience Daily Responsibilities:
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