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Senior Python Engineer

tala · 30+ days ago
Negotiable
Full-time
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About Tala

Tala is on a mission to unleash the economic power of the Global Majority – the 4 billion people overlooked by existing financial systems. With nearly half a billion dollars raised from equity and debt, we are serving millions of customers across three continents. Tala has been named by the Fortune Impact 20 list, CNBC’s Disruptor 50 five years in a row, CNBC’s World's Top Fintech Company, Forbes’ Fintech 50 list for eight years running, and Chief's The New Era of Leadership Award. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about our mission.

By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, over nine million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.

Most Talazens join us because they connect with our mission. If you are energized by the impact you can make at Tala, we’d love to hear from you!

The Role
The Senior Python Engineer will be in charge of building and maintaining a feature store that delivers real-time data to ML and AI Models. Collaborate in designing a feature store as a distributed system, integrating with the Data Platform’s Event-Driven architecture to compute and deliver real-time features and analytics for ML and AI models.

What You'll Do

  • Build and maintain a feature store that delivers real-time data to ML and AI Models
  • Collaborate in designing a feature store as a distributed system, integrate with Data Platform’s Event-Driven architecture to compute and  deliver real-time features and analytics for ML and AI models

What You'll Need

  • 5+ years experience working on software engineering, using Python
  • 3+ years experience working with Django | Flink | FastApi
  • Experience deploying infrastructure as code using CloudFormation or Terraform in AWS, GCP, or Azure

Nice to Have

  • 2+ years of engineering experience using streaming tools like Kafka, AWS Kinesis, and Flink
  • Plus: previous experience working with MLEs or DS's, building and maintaining a Feature Store
Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Last updated on Jan 9, 2025

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