Job Description
About Position:
We are seeking an experienced AWS Sage Maker 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 Sage Maker, cloud-native architecture, and Dev Ops practices, along with the ability to collaborate with data science teams to productionize ML use cases efficiently.
Role : AWS Sage Maker 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 Sage Maker for training, validation, deployment, and monitoring
Build Dev Ops 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 fo...
We are seeking an experienced AWS Sage Maker 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 Sage Maker, cloud-native architecture, and Dev Ops practices, along with the ability to collaborate with data science teams to productionize ML use cases efficiently.
Role : AWS Sage Maker 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 Sage Maker for training, validation, deployment, and monitoring
Build Dev Ops 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 fo...