Machine Learning Engineer - Fraud at PayJoy - ScoutJobs - The AI-curated global job board
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PayJoy
Posted 13 days ago

Machine Learning Engineer - Fraud

PayJoyMachine Learning Engineer - Fraud

Perks & benefits

Health InsuranceMedical InsuranceVisaRelocation AllowancePaid Leave

Requirements

Bachelor's degree in Computer Science or Engineering, 3+ years experience in ML or Data Science, Proficiency in Python and libraries like Scikit-Learn and Pandas, Knowledge of ML lifecycle and model serving, Experience with cloud providers like AWS, Experience with containerization like Docker, English fluency

Skills

PythonAWSDockerScikit-learnPandasDatabricks

About the role

Responsibilities

  • Design, build, and deploy machine learning models for fraud detection use cases across PayJoy’s product suite.
  • Collaborate with global Fraud, Engineering, Product, and Risk teams to deliver data science products to international markets.
  • Ensure ML models are production-ready, optimized for scale, and continuously improved based on performance.
  • Improve infrastructure for fraud decisioning by extending it to new entity types and supporting greater scale.
  • Handle large, complex datasets to clean, preprocess, and extract relevant features.
  • Write production-level code including documentation, testing, and peer reviews.
  • Work with the ML Platform team to implement scalable feature generation and model monitoring processes.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience as a Data Scientist, ML Engineer, or Data Engineer with a track record of maintaining models in production.
  • High proficiency in Python and libraries such as Scikit-Learn and Pandas.
  • Comprehensive knowledge of the ML lifecycle, from feature engineering to model serving and monitoring.
  • Demonstrated experience with cloud providers (AWS preferred) and containerization (e.g., Docker).
  • Fluency in English with strong verbal and written communication skills.
  • Ability to work in a fast-paced environment with evolving requirements.

Preferred Qualifications

  • Experience in fraud detection or machine learning applications within the financial market.
  • Experience with Large Language Models (LLMs) or graph databases.
  • Hands-on experience with Databricks for developing and monitoring ML workflows at scale.

Benefits

  • 100% company-funded health, dental, and vision plans for employees and immediate family.
  • Life insurance and wellness perks.
  • 30 days of Christmas bonus and 20 days of paid vacation.
  • Monthly grocery coupons and annual professional development perks.
  • Annual co-working travel perk.
  • Catered lunches and home office equipment support.

About the Company

PayJoy is a Public Benefit Corporation and mission-first credit provider dedicated to helping underserved customers in emerging markets achieve financial stability. Through patented secured credit technology, point-of-sale financing, and anti-fraud AI, PayJoy has served over 18 million customers globally.

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Machine Learning Engineer - Fraud

PayJoy · Mexico City

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