Senior ML Platform Engineer - Cloud & MLOps

TCC Toyota Motor Credit Corporation Company; Texas; In loco; USD 140.000 - 170.000; Tempo pieno

Vantaggi offerti da questo lavoro

Tuition reimbursement

Vehicle purchase discount

Lease vehicle program

Health care and wellness plans

401(k) plan with company match

Paid holidays and PTO

Relocation assistance

Descrizione del lavoro

Toyota Financial Services Enterprise Platforms is seeking a Senior Machine Learning Platform Engineer to design, build, and operate an enterprise ML platform on AWS SageMaker AI or Unified Studio. You will help migrate to a unified, governed ML environment and empower data teams to deliver AI solutions with speed and reliability.

Reporting to Enterprise Platforms leadership, you will scale ML infrastructure, support full lifecycle, and collaborate across teams to optimize production ML workflows.

Competenze

• Bachelor’s degree in a field supporting software engineering, cloud platforms, or ML.
• 4+ years in DevOps or software engineering for cloud infrastructure or ML platforms.
• 2+ years hands-on AWS experience with SageMaker domain, pipelines, model registry, endpoints, and feature store.
• 2+ years building and operating production MLOps pipelines for training, versioning, deployment, and rollback.
• Proficiency with infrastructure-as-code tools (Terraform, CDK, CloudFormation) to build scalable environments.
• Understanding IAM design for ML including execution roles and cross-account access.
• Strong collaboration, communication, and independent working skills.
• Preferred: advanced SageMaker knowledge and AWS ML Specialty certification.

Mansioni

• Design, build, and operate cloud-native MLOps components for production workloads.
• Create SageMaker Pipelines for data extraction, preprocessing, training, evaluation, and model registration; enable MLflow logging.
• Manage SageMaker Model Registry including cross-account promotion, versioning, and endpoints; support real-time and batch inference.
• Implement identity and access management with Okta SSO and persona-based roles.
• Set up model monitoring for data and model drift; configure data catalogs with datasets and lineage.
• Maintain platform operations via CloudWatch and Datadog; troubleshoot production issues and drive improvements.
• Stay current with evolving AI/ML platform technologies and best practices.

Conoscenze

DevOps

Software engineering

AWS SageMaker

MLOps pipelines

IaC (Terraform/CDK/CloudFormation)

IAM design

SageMaker AI knowledge

AWS certifications

Formazione

Bachelor’s degree

Strumenti

SageMaker Studio

SageMaker Pipelines

SageMaker Model Registry

SageMaker Endpoints

SageMaker Feature Store

Okta SSO

Datadog

CloudWatch

Terraform

CDK

CloudFormation

Descrizione del lavoro

Toyota Financial Services Enterprise Platforms is seeking a Senior Machine Learning Platform Engineer to design, build, and operate an enterprise ML platform on AWS SageMaker AI or Unified Studio. You will help migrate to a unified, governed ML environment and empower data teams to deliver AI solutions with speed and reliability.

Reporting to Enterprise Platforms leadership, you will scale ML infrastructure, support full lifecycle, and collaborate across teams to optimize production ML workflows.