ML Infrastructure Architect

hace 4 semanas

Ciudad de México, Ciudad de México PayJoy Inc. A tiempo completo

About PayJoy

At PayJoy Inc., we're on a mission to revolutionize financial services for under-served customers in emerging markets. With our patented technology turning smartphones into digital collateral and cutting-edge machine learning, data science, and anti-fraud AI, we've brought billions of dollars in credit to 12 million customers. Our team is driven by a passion for innovation and a commitment to financial stability and success.

Job Summary

We're seeking a skilled Machine Learning Infrastructure Architect to join our team. As a key member of our data science team, you'll play a critical role in developing and maintaining the core systems and infrastructure that power our data science applications. This platform/tooling-focused position requires close collaboration with other engineers, data scientists, risk/fraud analysts, and product managers to build, maintain, and improve the whole ML platform.

Key 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 (design, development, deployment, delivery, and monitoring) of the infrastructure that powers our ML models, ensuring optimal performance and high reliability.
  • Drive the enablement of our modeling team by building new tools or adopting new technologies that allow them to extract data, generate features, and deploy/serve models with ease.
  • Work with a data-driven mindset and understand the critical importance of handling data properly and safely.
  • Mentor other engineers and data scientists about 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 ML life cycle: from data extraction and feature engineering to model serving and monitoring for live and batch processing.
  • High proficiency in Python and a strong understanding of its related libraries and frameworks (e.g., Scikit-Learn, Pandas, Flask, FastAPI, etc.).
  • Strong background in feature store implementation and usage (Chalk.ai, Tecton, Databricks, Feast, etc.), particularly focused on managing large volumes of data for online and offline processing.
  • Demonstrated experience with cloud providers (AWS preferred) and related data services (e.g., databases, storage, serverless computing).

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.

Estimated Salary: $120,000 - $150,000 per year

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

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