ML Pipeline Developer

2 weeks ago


mount, India beBeeMlOps Full time

As an MLOps professional, you will be responsible for designing, deploying and maintaining robust ML pipelines using cloud services.Your key responsibilities include:Building, deploying and maintaining ML models using AWS SageMakerDeveloping automated CI/CD workflows using CodePipeline, CodeBuild or GitHub ActionsImplementing model monitoring, logging and drift detection using CloudWatch and SageMaker Model MonitorYou will also create and maintain infrastructure using Terraform or CloudFormation, manage secure, scalable and cost-optimized AWS environments, collaborate with data scientists and cloud engineering teams, and troubleshoot issues in high-availability production ML setups.



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  • AI/ML Innovator

    2 weeks ago


    mount, India beBeeArtificial Full time

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