Senior ML Platform Architect - SageMaker

Toyota Deutschland GmbH; Plano (TX); On-site; USD 160,000 - 210,000; Full time

Benefits offered by this job

Vehicle Purchase Discount

Team Member Lease Vehicle Program

Comprehensive health care for family

Job summary

Toyota Financial Services Enterprise Platforms team is seeking a Senior ML Platform Engineer who will design, build, and operationalize an enterprise-grade ML platform on AWS SageMaker Unified Studio. You will drive the migration to a unified, governed ML environment and support data teams delivering AI solutions with speed and reliability.

You will own the platform from data discovery to production deployment, ensuring secure access, scalable pipelines, and robust observability with CloudWatch

Qualifications

• Bachelor's degree in a field related to software engineering, cloud platforms, or ML.
• 7+ years of software engineering experience in cloud infrastructure or ML platform operations.

Responsibilities

• Architect cloud-native platform capabilities for production ML workloads.
• Stand up SageMaker Unified Studio and configure domains and projects.
• Build and maintain automated MLOps pipelines for training, versioning, deployment.

Skills

Senior ML Platform Engineer

AWS SageMaker

MLOps

Terraform/CDK/CloudFormation

IAM design

Collaboration/communication

Education

Bachelor's degree in a relevant field

Tools

SageMaker Studio

SageMaker Pipelines

SageMaker Model Registry

SageMaker Endpoints

SageMaker Feature Store

Terraform

CDK

CloudFormation

Okta SSO

SailPoint

CloudWatch

Datadog

Job description

Toyota Financial Services Enterprise Platforms team is seeking a Senior ML Platform Engineer who will design, build, and operationalize an enterprise-grade ML platform on AWS SageMaker Unified Studio. You will drive the migration to a unified, governed ML environment and support data teams delivering AI solutions with speed and reliability.

You will own the platform from data discovery to production deployment, ensuring secure access, scalable pipelines, and robust observability with CloudWatch