Senior Machine Learning Operations Specialist

4 days ago

coimbatore, India beBeeMLOperations Full time

Design and Deploy Robust Machine Learning PipelinesAs an experienced MLOps Engineer, you will design, deploy, and maintain machine learning pipelines using AWS SageMaker and associated cloud services.This role requires a strong background in production-grade MLOps, automation, and cloud engineering.Develop automated CI/CD workflows using CodePipeline, CodeBuild, or GitHub Actions to build, deploy, and maintain ML models using AWS SageMaker (Pipelines, Endpoints, Model Registry).Implement model monitoring, logging, and drift detection with CloudWatch and SageMaker Model Monitor.Collaborate with data scientists, cloud engineering teams, and solution architects to troubleshoot issues in high-availability, production ML setups.Key ResponsibilitiesManage secure, scalable, cost-optimized AWS environments, including IAM, VPC, and networking infrastructure.Create and maintain infrastructure using Terraform or CloudFormation.Develop skills in building, deploying, and maintaining robust ML pipelines using AWS SageMaker and associated cloud services.Required Skills and QualificationsAutomation: Develop automated CI/CD workflows using CodePipeline, CodeBuild, or GitHub Actions.Cloud Engineering: Create and maintain infrastructure using Terraform or CloudFormation, manage secure, scalable, cost-optimized AWS environments.Machine Learning: Build, deploy, and maintain ML models using AWS SageMaker (Pipelines, Endpoints, Model Registry), implement model monitoring, logging, and drift detection.Production-Grade MLOps: Troubleshoot issues in high-availability, production ML setups, collaborate with data scientists, cloud engineering teams, and solution architects.

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