Data Driven AI Solutions Lead

3 days ago

belgaum, India beBeeMachine Full time

MLOps Engineer Role OverviewAs a key member of our data and analytics team, you will design, deploy, and maintain robust ML pipelines using AWS SageMaker and associated cloud services.Develop and implement ML models using AWS SageMaker (Pipelines, Endpoints, Model Registry)Establish automated CI/CD workflows using CodePipeline, CodeBuild, or GitHub ActionsImplement model monitoring, logging, and drift detection (CloudWatch, SageMaker Model Monitor)Create and maintain infrastructure using Terraform or CloudFormationManage secure, scalable, cost-optimized AWS environments (IAM, VPC, networking)Collaborate with data scientists, cloud engineering teams, and solution architects to deliver high-quality ML solutionsTroubleshoot complex issues in high-availability production ML setupsKey Requirements:4–8 years total experience in MLOps / ML Engineering with proven track recordHands-on expertise with SageMaker in large-scale enterprise environmentsStrong Python skills and familiarity with leading ML frameworksExperience with Docker, Kubernetes (EKS preferred), and container orchestrationProven ability to build and manage CI/CD pipelinesDeep practical knowledge of the AWS ecosystem with emphasis on best practices

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