Machine Learning Engineer

PayJoy; Ciudad de México; Presencial; USD 60,000 - 100,000; Jornada completa

Descripción de la vacante

An innovative financial service provider seeks a Machine Learning Engineering Manager to lead the lifecycle of ML modeling from design to deployment. This role involves collaborating with global teams to create cutting-edge data science products that enhance fraud detection and credit risk applications. The ideal candidate will have a strong background in machine learning, proven leadership skills, and experience with large datasets. This position offers an exciting opportunity to make a significant impact in a rapidly growing company dedicated to financial inclusion. Join a dynamic team committed to leveraging technology for positive change in emerging markets.

Servicios

100% Company-funded Health and Dental insurance

$2,000 USD annual Co-working Travel perk

$2,000 USD annual Professional Development perk

Home office equipment

Fitness perks

Formación

• 3+ years experience in machine learning with a track record of production-level code.
• Strong leadership skills with experience in managing high-performing teams.

Responsabilidades

• Lead the development and deployment of machine learning models for fraud detection and credit risk.
• Collaborate with global teams to deliver data science products.

Conocimientos

Machine Learning

Python

Data Science

Leadership

Data Engineering

Educación

Bachelor’s degree in Computer Science

Bachelor’s degree in Engineering

Herramientas

Scikit-Learn

Pandas

Flask

Docker

AWS

Descripción del empleo

About PayJoy

PayJoy is a mission-first financial service provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. We lend through our patented technology that turns a smartphone into digital collateral, and our cutting-edge machine learning, data science, and anti-fraud AI allow us to offer the lowest cost and qualify the most customers in the industry. As of 2024 we have brought billions of dollars in credit to 12 million customers, doubling in the last two years while remaining strongly profitable and sustainable for the long term.

This role

The Machine Learning Engineering Manager is responsible for the whole lifecycle of our Machine Learning modeling function from the feature generation to the model rollout (design, development, deployment and monitoring), to develop, optimize and deploy ML models that power our fraud detection, credit risk and other applications like cross-sell, churn and collections; continuously improving the quality and performance of our models by gathering and integrating new data sources that enhance our predictive capabilities.

Responsibilities

• Collaborate with global teams including Risk, Fraud, Engineering and Product to deliver world-class data science products to international markets.
• Design, build, and deploy machine learning models for a variety of use cases, including fraud detection, credit risk modeling, customer segmentation, collections, and churn.
• Ensure our delivered Machine Learning models are production-ready, optimized for scale and continuously improved based on feedback from our stakeholders and performance on production.
• Handle large, complex datasets to clean, preprocess and extract relevant features to improve model accuracy and performance.
• Write production-level code with documentation, testing and peer review.
• Work with a data-driven mindset and understand the critical importance of handling data properly and safely.
• Lead the testing, cost-benefit analysis and integration of new data sources to improve the accuracy and robustness of our Machine Learning models.
• Work closely with our Machine Learning Platform and Tooling team to design and implement scalable feature generation and extraction pipelines and model deployment/monitoring processes.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 3+ years of experience as a data scientist, machine learning engineer, data engineer or a closely related position with a proven track record of writing production-level code and developing and maintaining Machine Learning models in production.
• Strong leadership and people management skills with at least 2 years of experience leading and scaling high-performing teams.
• High proficiency in Python and a strong understanding of its related libraries and frameworks (e.g., Scikit-Learn, Pandas, Flask, etc).
• Comprehensive knowledge of Machine Learning life cycle: from data extraction and feature engineering to model serving and monitoring for live and batch processing.
• Demonstrated experience with cloud providers (AWS preferred) and related services like containerization (e.g., Docker).
• Experience in credit risk modeling, fraud detection or other applications of machine learning in the financial market is a big plus.

Benefits

• *Local benefits will depend of the country of hiring*
• 100% Company-funded Health and Dental insurance for employees and immediate family members.
• Phone finance, Headphone, home office equipment and fitness perks.
• $2,000 USD annual Co-working Travel perk.
• $2,000 USD annual Professional Development perk.

PayJoy is proud to be an Equal Employment Opportunity employer and we welcome and encourage people of all backgrounds. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

PayJoy Principles

Finance for the next billion * Ownership * Break Through Walls * Live Communication * Transparency & Directness * Focus on Scale * Work-Life Balance * Embrace Diversity * Speed * Active Listening