

Clevanoo LLC
Machine Learning Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer in San Jose, CA, on an 18+ month contract, offering competitive pay. Key skills include BigQuery, Python, and machine learning experience. Understanding production system architecture is essential.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
December 6, 2025
π - Duration
More than 6 months
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
San Jose, CA
-
π§ - Skills detailed
#Compliance #BigQuery #Python #Automation #Security #PySpark #Documentation #GitHub #Datasets #Jira #ML (Machine Learning) #Spark (Apache Spark) #Data Science #SharePoint
Role description
We have an immediate need for an Machine Learning Engineer.
Machine Learning Engineer
Onsite (San Jose, CA)
18+Months Contract
Top 3 Must-Have Hard Skills:
1.BigQuery, Python
2.Understanding of production system architecture and offline data workflows
3.Machine Learning experience
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
What Youβll Do:
β’ Redesign and optimize PayPalβs MLOps and decision platform for fraud detection.
β’ Architect large-scale big-data infrastructure to enable cutting-edge machine learning models for real-time fraud prevention.
β’ Collaborate with data scientists and platform engineers to automate workflows.
β’ Deliver solutions ensuring compliance, security, and maintainability across the fraud detection ecosystem.
β’ Work with high-dimensional datasets using tools like Python, PySpark, and BigQuery to develop robust fraud signal detection workflows.
β’ Standardize rules and decision processes while supporting dynamic rule updates and analytics within the fraud detection platform.
β’ Collaborate across multidisciplinary teams in engineering, product development, and data science to scale solutions globally.
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Story Behind the Need β Team & Key Projects:
β’ Team: You will work closely with Core Automation team tech leads and managers.
β’ Key Projects: Rebuild PayPalβs next-generation risk platform (NGRP) with engineering teams; be part of the pioneering team launching the NGRP.
β’ Reason for Posting: Build a next-generation risk platform supporting all enterprise business functions under a tight timeline for decision engine adoption.
Work & Collaboration Structure:
β’ Tasks managed via Jira board, sprint planning, and grooming cycles.
β’ Regular team stand-ups at least twice a week (daily if needed for blockers).
β’ Onboarding involves more interaction with Engineering, Product, and US Risk core teams; post-onboarding, interactions will be ~50/50.
β’ Tasks tracked primarily through Jira; code maintained in a centralized GitHub repository.
β’ Documentation and updates maintained on wiki pages or SharePoint/Shared Drives.
--
Maaz Ali
Specialist - Talent Acquisition
Clevanoo LLC
Desk: 475-216-2328
Email: maaz.a@clevanoollc.com
We have an immediate need for an Machine Learning Engineer.
Machine Learning Engineer
Onsite (San Jose, CA)
18+Months Contract
Top 3 Must-Have Hard Skills:
1.BigQuery, Python
2.Understanding of production system architecture and offline data workflows
3.Machine Learning experience
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
What Youβll Do:
β’ Redesign and optimize PayPalβs MLOps and decision platform for fraud detection.
β’ Architect large-scale big-data infrastructure to enable cutting-edge machine learning models for real-time fraud prevention.
β’ Collaborate with data scientists and platform engineers to automate workflows.
β’ Deliver solutions ensuring compliance, security, and maintainability across the fraud detection ecosystem.
β’ Work with high-dimensional datasets using tools like Python, PySpark, and BigQuery to develop robust fraud signal detection workflows.
β’ Standardize rules and decision processes while supporting dynamic rule updates and analytics within the fraud detection platform.
β’ Collaborate across multidisciplinary teams in engineering, product development, and data science to scale solutions globally.
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Story Behind the Need β Team & Key Projects:
β’ Team: You will work closely with Core Automation team tech leads and managers.
β’ Key Projects: Rebuild PayPalβs next-generation risk platform (NGRP) with engineering teams; be part of the pioneering team launching the NGRP.
β’ Reason for Posting: Build a next-generation risk platform supporting all enterprise business functions under a tight timeline for decision engine adoption.
Work & Collaboration Structure:
β’ Tasks managed via Jira board, sprint planning, and grooming cycles.
β’ Regular team stand-ups at least twice a week (daily if needed for blockers).
β’ Onboarding involves more interaction with Engineering, Product, and US Risk core teams; post-onboarding, interactions will be ~50/50.
β’ Tasks tracked primarily through Jira; code maintained in a centralized GitHub repository.
β’ Documentation and updates maintained on wiki pages or SharePoint/Shared Drives.
--
Maaz Ali
Specialist - Talent Acquisition
Clevanoo LLC
Desk: 475-216-2328
Email: maaz.a@clevanoollc.com






