
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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PayJoy · Mexico City
