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Machine Learning Senior Engineer

hace 1 mes


Ciudad de México, Ciudad de México Medium A tiempo completo
About PayJoy

PayJoy is a mission-driven financial service provider dedicated to empowering under-served customers in emerging markets to achieve financial stability and success. Our patented technology and cutting-edge machine learning, data science, and anti-fraud AI enable us to offer the lowest cost and qualify the most customers in the industry. With a strong focus on sustainability and profitability, we have brought billions of dollars in credit to 12 million customers, doubling in the last two years while maintaining a long-term vision.

This Role

As a Machine Learning Engineer at PayJoy, you will play a critical role in developing and maintaining the core systems and infrastructure that power our data science applications. This position is platform/tooling focused, requiring expertise in building scalable tools and infrastructure that handle hundreds of millions of transactions per month.

Responsibilities
  • Collaborate with global teams to deliver world-class data science products to international markets, including ML models, infrastructure, and tools.
  • Own the life cycle of the infrastructure that powers our ML models, ensuring optimal performance and scalability.
  • Drive the enablement of our modeling team by building new tools or adopting new technologies that facilitate data extraction, feature generation, and model deployment.
  • Work with a data-driven mindset, prioritizing data safety and handling.
  • Organize frameworks and develop processes in our codebase to promote clean and structured coding practices.
  • Mentor other engineers and data scientists on best practices in engineering.
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience as a machine learning engineer, data engineer, or a closely related position with a proven track record of writing production-level code and developing and maintaining ML infrastructure.
  • Good verbal and written communication skills in English.
  • Comprehensive knowledge of the ML life cycle, from data extraction and feature engineering to model serving and monitoring.
  • High proficiency in Python and related libraries and frameworks.
  • Strong background in feature store implementation and usage, particularly focused on managing large volumes of data for online and offline processing.
  • Demonstrated experience with cloud providers and related data services.
  • Ability to work in a fast-paced environment with constant requirement changes.
Benefits
  • Company-funded Health and Dental Insurance for employees and immediate family members.
  • Life insurance.
  • 30 days of Christmas bonus.
  • 20 days paid Vacation.
  • 50% Vacation premium.
  • 13% Saving funds.
  • $2,000 MXN monthly grocery coupons.
  • $2,000 USD annual Coworking Travel allowance.
  • $2,000 USD annual Professional Development allowance.
  • $500 USD annual Fitness allowance.
  • $500 USD Phone Finance allowance.
  • $250 USD Home Office equipment allowance.
  • $200 USD Headphone allowance.

PayJoy is proud to be an Equal Employment Opportunity employer and welcomes people of all backgrounds. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, 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