Machine Learning Pipeline Specialist

4 days ago

Kolhapur, India beBeeMLOps Full time

MLOps Engineer Role OverviewAs a senior MLOps professional, you will contribute to the design, deployment, and maintenance of robust machine learning pipelines using AWS SageMaker and associated cloud services. This position requires strong experience in production-grade MLOps, automation, and cloud engineering.You will be responsible for:Building, deploying, and maintaining ML models using AWS SageMaker (Pipelines, Endpoints, Model Registry)Developing automated CI/CD workflows using CodePipeline, CodeBuild, or GitHub ActionsImplementing model monitoring, logging, and drift detection (CloudWatch, SageMaker Model Monitor)Creating and maintaining infrastructure using Terraform or CloudFormationManaging secure, scalable, cost-optimized AWS environments (IAM, VPC, networking)Collaborating with data scientists, cloud engineering teams, and solution architectsTroubleshooting issues in high-availability, production ML setupsTo succeed in this role, you should have:A minimum of 4 years of experience in MLOps / ML EngineeringStrong Python skills & familiarity with ML frameworksExperience with Docker, Kubernetes (EKS preferred)Experience building CI/CD pipelinesDeep practical knowledge of the AWS ecosystemPreferred qualifications include:Experience implementing model governanceExperience with multi-model endpointsFamiliarity with enterprise security standards and compliance

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