Machine Learning Pipeline Engineer

4 days ago


mumbai, India beBeeMACHINELEARNING Full time

Job Title: Machine Learning Pipeline EngineerThis is an exciting opportunity to work with a global data and analytics team to design, deploy, and maintain robust machine learning pipelines using AWS SageMaker and associated cloud services.Key Responsibilities:Design, build, and maintain machine learning models using AWS SageMaker (Pipelines, Endpoints, Model Registry)Develop automated continuous integration and deployment (CI/CD) workflows using CodePipeline, CodeBuild, or GitHub ActionsImplement model monitoring, logging, and drift detection using CloudWatch and SageMaker Model MonitorCreate and maintain infrastructure using Terraform or CloudFormationManage secure, scalable, and cost-optimized AWS environments using IAM, VPC, and networkingCollaborate with data scientists, cloud engineering teams, and solution architects to deliver high-quality ML solutionsTroubleshoot issues in high-availability production ML setupsRequired Skills and Qualifications:4–8 years of experience in MLOps/ML Engineering with hands-on experience in enterprise-scale environmentsStrong Python skills and familiarity with machine learning frameworksExperience with Docker, Kubernetes (EKS preferred), and containerizationDeep practical knowledge of the AWS ecosystemBenefits:100% remote work model6-month contract with possibility of extensionOpportunity to work on cutting-edge ML projectsCollaborative team environmentOthers:Client: A large global enterpriseLocation: IndiaRole Overview:You will work within a global data and analytics team to design, deploy, and maintain robust machine learning pipelines using AWS SageMaker and associated cloud services.The role requires strong experience in production-grade MLOps, automation, and cloud engineering.



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