Machine Learning Engineer

Akkodis is seeking a – “Machine Learning/AI Engineer III” for a Contract position with a client located in San Jose, CA/Chicago, IL (Hybrid). Pay Range: $75-$85/hr. (The rate/salary may be negotiable based on experience, education, geographic location, and other factors.). Summary: You would get chance to design and implement scalable solutions to optimize fraud detection systems, spanning model development, feature engineering, and rule-based systems. You will collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to ensure our platform sets a new global standard for efficacy and innovation. You will address critical business challenges, develop advanced automation frameworks, and integrate cutting-edge machine learning techniques to enhance decision-making capabilities. By joining us, you will not only contribute to PayPal’s fraud detection efforts but leave a lasting impact on the financial security of millions of users around the globe. 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. 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. Top 3 must-have hard skills (gather possible alternative skills & years) • BigQuery, Python • Understand the production systems architect and offline data overview • Machine Learning experience 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 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