Akkodis
Akkodis – Machine Learning/AI Engineer (Hybrid, San Jose, CA)
This range is provided by Akkodis. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base Pay Range
– $80,000 – $90,000 per year (W2)
Location : San Jose, CA (Hybrid)
Relocation :
Not Accepted – Local Candidates Only
What You’ll Do
Redesign and optimize the company's MLOps and decision platform for fraud detection.
Architect large‑scale big‑data infrastructure to enable cutting‑edge machine learning models for real‑time fraud prevention.
Collaborate with data scientists and platform engineers to automate workflows.
Deliver solutions ensuring compliance, security, and maintainability across the fraud detection ecosystem.
Work with high‑dimensional data using Python, PySpark, and BigQuery to develop robust fraud‑signal detection workflows.
Standardize rules and decision processes while supporting 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 & Key Projects
Team : Core Automation team – work closely with tech leads and managers.
Key Projects : Rebuild next‑generation risk platform (NGRP) with engineering teams; pioneer the launch of the NGRP.
Manage tasks via Jira, sprint planning, and grooming cycles. Regular stand‑ups at least twice a week (daily if blockers).
Onboarding involves interaction with Engineering, Product, and US Risk core teams; post‑onboarding interaction ~50/50.
Code maintained in centralized GitHub repository; documentation kept on wiki or SharePoint.
Requirements & Skills
Experience with BigQuery and Python.
Understanding of production system architecture and offline data workflows.
Machine Learning experience focused on fraud‑detection or similar domains.
Ability to work in a hybrid environment and collaborate across teams.
Benefits & EEO Statement Equal Opportunity Employer – Veterans/Disabled. Benefits include medical, dental, vision, term life insurance, short‑term disability, voluntary benefits, commuter benefits, 401(k) plan, paid sick leave, holiday pay, and other statutory leave.
Our program provides employees flexibility to choose coverage that meets their needs. The Company considers qualified applicants with arrest and conviction records.
How to Apply Click APPLY NOW to submit your application. For other opportunities at Akkodis, visit
www.akkodis.com . Questions? Contact
kelly.spencer@akkodisgroup.com .
#J-18808-Ljbffr
Base Pay Range
– $80,000 – $90,000 per year (W2)
Location : San Jose, CA (Hybrid)
Relocation :
Not Accepted – Local Candidates Only
What You’ll Do
Redesign and optimize the company's MLOps and decision platform for fraud detection.
Architect large‑scale big‑data infrastructure to enable cutting‑edge machine learning models for real‑time fraud prevention.
Collaborate with data scientists and platform engineers to automate workflows.
Deliver solutions ensuring compliance, security, and maintainability across the fraud detection ecosystem.
Work with high‑dimensional data using Python, PySpark, and BigQuery to develop robust fraud‑signal detection workflows.
Standardize rules and decision processes while supporting 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 & Key Projects
Team : Core Automation team – work closely with tech leads and managers.
Key Projects : Rebuild next‑generation risk platform (NGRP) with engineering teams; pioneer the launch of the NGRP.
Manage tasks via Jira, sprint planning, and grooming cycles. Regular stand‑ups at least twice a week (daily if blockers).
Onboarding involves interaction with Engineering, Product, and US Risk core teams; post‑onboarding interaction ~50/50.
Code maintained in centralized GitHub repository; documentation kept on wiki or SharePoint.
Requirements & Skills
Experience with BigQuery and Python.
Understanding of production system architecture and offline data workflows.
Machine Learning experience focused on fraud‑detection or similar domains.
Ability to work in a hybrid environment and collaborate across teams.
Benefits & EEO Statement Equal Opportunity Employer – Veterans/Disabled. Benefits include medical, dental, vision, term life insurance, short‑term disability, voluntary benefits, commuter benefits, 401(k) plan, paid sick leave, holiday pay, and other statutory leave.
Our program provides employees flexibility to choose coverage that meets their needs. The Company considers qualified applicants with arrest and conviction records.
How to Apply Click APPLY NOW to submit your application. For other opportunities at Akkodis, visit
www.akkodis.com . Questions? Contact
kelly.spencer@akkodisgroup.com .
#J-18808-Ljbffr