MLOps Engineer — AWS SageMaker

1 week ago

Kollam, India Hadron Talent -Hadronfinsys Full time

MLOps Engineer — AWS SageMakerClient: A large global enterprise (name not disclosed)Location: IndiaWork Model: 100% RemoteContract: 6 months (initial) with possibility of extensionStart Date: ASAPEngagement: Full-time / Long-term contractRole OverviewYou will work within a global data & analytics team to design, deploy, and maintain robust ML pipelines using AWS SageMaker and associated cloud services. The role requires strong experience in production-grade MLOps, automation, and cloud engineering.Key Responsibilities- Build, deploy, and maintain ML models using AWS SageMaker (Pipelines, Endpoints, Model Registry)- Develop automated CI/CD workflows using CodePipeline, CodeBuild, or GitHub Actions- Implement model monitoring, logging, and drift detection (CloudWatch, SageMaker Model Monitor)- Create and maintain infrastructure using Terraform or CloudFormation- Manage secure, scalable, cost-optimized AWS environments (IAM, VPC, networking)- Collaborate with data scientists, cloud engineering teams, and solution architects- Troubleshoot issues in high-availability, production ML setupsRequired Experience- 4–8 years total experience in MLOps / ML Engineering- Hands-on experience with SageMaker in enterprise-scale environments- Strong Python skills & familiarity with ML frameworks- Experience with Docker, Kubernetes (EKS preferred)- Experience building CI/CD pipelines- Deep practical knowledge of AWS ecosystemNice to Have- Experience implementing model governance- Experience with multi-model endpoints- Familiarity with enterprise security standards and compliance

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