Chief Architect of AI Systems

3 days ago

erode, India beBeeMachineLearning Full time

About the RoleWe are seeking a talented Founding MLOps Engineer to contribute to designing, building, and maintaining our core infrastructure, systems, and software. This is a full-time remote position located in the San Francisco Bay Area.Key ResponsibilitiesDesign and develop scalable systems to support our AI-powered simulation engine platformCollaborate with cross-functional teams to define solutions and manage technical challengesEvaluate and ensure the reliability and performance of all deployed systemsRequirementsTo succeed in this role, you will need:2+ years of experience operating production cloud systems (serverless + containers) with real ownership of reliability, security, and costExperience deploying AI models to productionA strong understanding of Machine Learning, LLMs, Artificial Intelligence, and Data Science fundamentalsFamiliarity with Vector Databases at Scale and Cloud Computing, Infrastructure Management, and DevOps practicesBachelor's/Masters degree in Computer Science, Engineering, or related field; advanced degrees preferredSkills We ValueWe are looking for candidates with a passion for innovation and building cutting-edge technology. You should be comfortable shipping code in Python, TypeScript, and Java, and have a preference for typed contracts and clean interfaces to the frontend. Additionally, we value familiarity with Agile Development and Start-up Environment Workflows.This is an exciting opportunity to join a team that is pushing the boundaries of human behavioral modeling with AI. If you are motivated by hard problems at the intersection of ML systems, distributed infra, and human behavior, we encourage you to apply.

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