Tala is a groundbreaking fintech company on a mission to revolutionize financial access for the Global Majority – 4 billion people currently underserved by traditional financial systems. With nearly half a billion dollars in funding, Tala has already impacted millions of lives across Kenya, the Philippines, Mexico, and India. The company has earned recognition from Fortune Impact 20, CNBC's Disruptor 50, and Forbes' Fintech 50 list.
As a Senior MLOps Engineer at Tala, you'll play a crucial role in building and maintaining the infrastructure that powers our AI/ML systems. This position combines expertise in machine learning operations with cloud infrastructure and DevOps practices, particularly focusing on AWS environments. You'll be responsible for designing and implementing scalable solutions that enable our ML pipelines and models to operate efficiently and reliably.
The role offers the opportunity to work with cutting-edge technologies in a remote-first environment, while being part of a global team that's making a real difference in financial inclusion. You'll be joining a company with a strong mission-driven culture and offices across multiple continents, including Santa Monica, Nairobi, Mexico City, Manila, and Bangalore.
This position is perfect for someone who combines technical expertise in MLOps with a passion for social impact. You'll be working on challenges that directly affect millions of users while helping to build a new financial ecosystem where everyone can participate on equal footing. Tala's commitment to diversity and inclusion means you'll be part of a team that values different perspectives and experiences, contributing to innovative solutions that serve a global customer base.