Senior Machine Learning Engineer

Akkodis is seeking a – “Machine Learning Engineer III” for a Contract position with a client located in San Jose, CA (primary) or Chicago, IL. Pay Range: $70 - $75/hr. (The rate/salary may be negotiable based on experience, education, geographic location, and other factors.). Job Description Summary: What You'll Do • Redesign and optimize MLOps and decision platform for fraud detection • Architect large-scale big-data infrastructure enabling cutting-edge ML models for real-time fraud prevention • Collaborate with data scientists and platform engineers to automate workflows • Ensure compliance, security, and maintainability across the fraud detection ecosystem • Work with high-dimensional datasets using Python, PySpark, and BigQuery for fraud signal detection • Standardize rules and decision processes while enabling dynamic rule updates and analytics • Collaborate across engineering, product, and data science teams to scale solutions globally Team & Project Context • Works closely with the Core Automation team's tech leads/managers • Joins the pioneer team rebuilding Next Generation Risk Platform (NGRP) • Purpose: build an enterprise-wide risk platform supporting all business functions, on a tight timeline for decision engine adoption • Extension/Conversion: No guaranteed extension; possible FTE conversion, but not promised Typical Day • Tasks distributed via Jira (sprint planning/grooming) • Standups at least twice a week (daily if needed/blockers arise) • Onboarding period requires heavier interaction with Engineering/Product/US Risk core teams; settles into a 50/50 split afterward • Code hosted in centralized GitHub repo • Documentation maintained on Wiki or SharePoint/shared drive Why This Role Is Compelling Design and implement scalable fraud detection solutions spanning model development, feature engineering, and rule-based systems — working cross-functionally with data scientists, engineers, and product managers to set a new global standard. This role offers the chance to build advanced automation frameworks and cutting-edge ML capabilities that directly protect the financial security of millions of users worldwide. Candidate Requirements Must-Have Skills (ranked by importance): 1. BigQuery, Python 1. Understanding of production systems architecture and offline data 1. Machine learning experience Nice to Have: Risk/fraud experience or business acumen; experience working directly with engineers Experience: 6+years Education: Master's preferred, strong Bachelor's acceptable Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees with the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance