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Senior MLOps Engineer

July 16

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Logo of Tala

Tala

The mobile app revolutionizing financial services, globally.

Mobile Technology • Credit Scores • Financial Inclusion • Big Data • Economic Development

501 - 1000

Description

• Design, build, and maintain scalable and robust infrastructure for AI/ML systems • Develop and implement CI/CD pipelines to automate deployment, testing, and monitoring of AI/ML models and applications • Evaluate and integrate new tools, technologies, and frameworks to improve MLOps processes • Design and manage Continuous deployment using Kubernetes, ArgoCD, and Jenkins • Monitor infrastructure utilization and costs • Monitor and troubleshoot AI/ML systems

Requirements

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

Benefits

• 11 paid holidays • Generous Accrued Time Off • Generous paid sick time

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