Senior MLOps Engineer

Tala is a fintech company providing lending and financial services to underserved markets across three continents, serving millions of customers.
Machine Learning
Senior Software Engineer
Remote
501 - 1,000 Employees
4+ years of experience
Finance · AI

Description For Senior MLOps Engineer

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.

Last updated a month ago

Responsibilities For Senior MLOps Engineer

  • Design, build, and maintain scalable and robust infrastructure for AI/ML systems
  • Develop and implement CI/CD pipelines for AI/ML models and applications
  • Evaluate and integrate new tools and technologies for MLOps processes
  • Design and manage Continuous deployment using Kubernetes, ArgoCD, and Jenkins
  • Maintain container registry and model registry
  • Monitor infrastructure utilization and costs for model training and inference
  • Monitor and troubleshoot AI/ML systems for high availability and performance

Requirements For Senior MLOps Engineer

Python
Kubernetes
  • 4+ years of experience as a DevOps Engineer
  • 1 year of previous experience managing AI/ML infrastructure in public cloud environments
  • In-depth hands-on experience with public cloud platform, preferably AWS
  • Experience with Python or any other programming language
  • Experience with Docker and Kubernetes in production
  • Experience with Continuous Deployment tools such as Jenkins or ArgoCD
  • Experience with Logging and Monitoring tools for SaaS
  • Proficiency in English

Benefits For Senior MLOps Engineer

Visa Sponsorship
  • Global team with remote-first approach
  • Opportunity to make social impact
  • Diverse and inclusive work environment

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