Machine Learning Engineer -- Only W2 - Kasmo Inc.

Overview

On Site

$50 - $60

Contract - W2

Contract - 18 Month(s)

Skills

Regulatory Compliance

GitHub

Innovation

PySpark

JIRA

Fraud

Finance

Product Development

SQL

Python

Data Science

Collaboration

Big Data

Analytics

Machine Learning (ML)

Job Details

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 Big Query 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.
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.

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.

Top Skills:
Big Query, Python, SQL
Understand the production systems architect and offline data overview
Machine Learning experience

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