Senior MLOps Engineer
October 18
Description
• Tala is on a mission to unleash the economic power of the Global Majority. • We are serving millions of customers across three continents. • We are expanding across product offerings, countries and crypto. • Most Talazens join us because they connect with our mission. • We are currently seeking a Senior Cloud Infrastructure Engineer with experience in MLOPs. • Design, implement, and maintain infrastructure and deployment practices of ML Pipelines. • You will bring Machine Learning, AI infrastructure, and automation expertise.
Requirements
• 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 at least one 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 such as Sumo, Splunk, Datadog, etc • Proficiency in English
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