Senior Machine Learning Operations Specialist

1 week ago


nadiad, India beBeeMachine Full time

Job OverviewThe MLOps Engineer 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.Key ResponsibilitiesDevelop automated workflows for building, deploying, and maintaining machine learning models using AWS SageMaker (Pipelines, Endpoints, Model Registry).Implement model monitoring, logging, and drift detection using CloudWatch and SageMaker Model Monitor.Create and maintain scalable infrastructure using Terraform or CloudFormation.Collaborate with data scientists and cloud engineering teams to deliver high-quality solutions.Troubleshoot issues in production machine learning setups.QualificationsExpertise in designing, deploying, and maintaining machine learning pipelines using AWS SageMaker.Familiarity with cloud services such as CodePipeline, CodeBuild, GitHub Actions, and IAM.Experience with infrastructure as code using Terraform or CloudFormation.Strong collaboration and communication skills.Ability to troubleshoot complex technical issues.



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