AWS SageMaker & MLOps Engineer

Job Summary:

We are seeking a highly skilled SageMaker Unified Studio (SMUS) Migration & MLOps Engineer to lead the migration of existing AWS SageMaker AI environments into SageMaker Unified Studio while establishing enterprise-grade CI/CD, MLOps, and governance frameworks. The ideal candidate will possess deep expertise in AWS data and machine learning services, cloud migration strategies, MLOps automation, Infrastructure as Code (IaC), and secure multi-account AWS architectures. This role will partner with Data Scientists, Platform Engineers, Cloud Architects, Security teams, and DevOps teams to modernize ML development and deployment processes.

Key Responsibilities:

• SageMaker Unified Studio Migration
• Lead migration of existing SageMaker AI environments into SageMaker Unified Studio (SMUS).
• Design and implement SMUS project structures, including project profiles, blueprints, and workspace configurations.
• Utilize AWS migration utilities, upgrade tools, and automation scripts to onboard existing workloads.
• Assess, migrate, and modernize legacy notebook environments and ML workflows.
• Integrate existing EMR on EC2 clusters and compute resources into SMUS.

• Data Platform Integration
• Migrate and onboard Amazon S3 data assets into SMUS projects.
• Configure and manage AWS Glue Data Catalog integration.
• Implement data governance and access controls using AWS Lake Formation.
• Develop automated onboarding processes for data sources, metadata, and catalogs.

• Workflow Orchestration & Scheduling
• Design and implement notebook scheduling and workflow automation.
• Configure Managed Workflows for Apache Airflow (MWAA) for orchestration.
• Build parameterized, multi-notebook execution frameworks.
• Replace legacy JupyterHub, Enterprise Gateway, and Livy-based architectures with modern SMUS-native capabilities.

• MLOps & CI/CD Engineering
• Develop and maintain CI/CD pipelines using GitHub and GitHub Actions.
• Implement reusable deployment workflows and automation templates.
• Configure and manage SMUS CI/CD using:
• aws-smus-cicd-cli
• manifest.yaml
• Enable automated testing, validation, deployment, and rollback capabilities.

• Cloud Security & IAM
• Implement secure GitHub-to-AWS authentication using OIDC and JWT federation.
• Design IAM roles, policies, and permission boundaries.
• Define secure multi-account deployment models across Development, Testing, and Production environments.
• Ensure compliance with enterprise security standards and governance requirements.

• Infrastructure as Code (IaC)
• Develop AWS infrastructure using:
• AWS CDK
• AWS CloudFormation
• Automate provisioning of networking, compute, data, and ML resources.
• Create reusable infrastructure modules and deployment templates.

Locations: PAN INDIA

Experience: 7-10 Years

Skills: AWS, Sagemaker, Data Migration, MLOPS, Pyspark, SMUS