AI Driven Cloud Infrastructure Architect

3 days ago


vellore, India beBeeData Full time

Cloud Data Engineering SpecialistYou will work with a global team to architect, implement, and maintain scalable ML infrastructure using AWS SageMaker and associated cloud services.Main Responsibilities:Create, deploy, and manage ML models using AWS SageMaker (Pipelines, Endpoints, Model Registry)Develop automated workflows for model deployment, monitoring, and logging using CodePipeline, CodeBuild, or GitHub ActionsImplement robust model monitoring, drift detection, and logging mechanisms using CloudWatch and SageMaker Model MonitorDesign and manage secure, cost-optimized AWS environments using IAM, VPC, and networking best practicesCollaborate closely with data scientists, cloud engineers, and solution architects to deliver high-quality ML solutionsTroubleshoot complex issues in production-scale ML deploymentsRequired ExpertiseMinimum 4–8 years of experience in ML engineering and cloud data engineeringHands-on expertise with SageMaker in large-scale enterprise environmentsStrong proficiency in Python programming and familiarity with popular ML frameworksExperience with containerization using Docker and orchestration using Kubernetes (EKS preferred)Proven track record of building efficient CI/CD pipelines for model deploymentDeep knowledge of the AWS ecosystem and its applications in cloud data engineering



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