AWS SageMaker Engineer

About Position: We are seeking an experienced AWS SageMaker Engineer to design and build scalable MLOps platforms and machine learning pipelines on AWS. The role focuses on enabling end-to-end ML lifecycle management including model development, deployment, monitoring, and automation. The ideal candidate will have strong expertise in SageMaker, cloud-native architecture, and DevOps practices, along with the ability to collaborate with data science teams to productionize ML use cases efficiently. Role : AWS SageMaker Engineer Location: All Persistent Location Experience: 8-12 years Job Type: Full Time Employment What You'll Do: Design and implement end-to-end MLOps pipelines on Amazon SageMaker for training, validation, deployment, and monitoring Build DevOps automation to provision and manage ML infrastructure across environments Develop Python-based tools and frameworks to standardize ML workflows and platform operations Implement CI/CD pipelines for ML models, feature pipelines, and ...