Senior ML Platform Engineer

TCC Toyota Motor Credit Corporation Company; Plano (TX); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Healthcare plans

401(k) with company match

Paid time off

Job summary

TCC Toyota Motor Credit Corporation Company is seeking an experienced machine learning platform engineer to design and operate cloud-native ML capabilities for production workloads. You will standardize SageMaker Studio, provision projects, and manage access across domains to enable scalable AI delivery.

You will build automated MLOps pipelines, govern the ML lifecycle with versioning and lineage, and ensure reproducible experiments with MLflow while strengthening security with IAM and SSO.

Qualifications

• Bachelor's degree in software engineering, cloud platforms, or ML.
• 7+ years in software engineering for cloud infra or ML platform ops.
• 4+ years hands-on AWS experience with SageMaker Studio, Pipelines, Endpoints.
• 3+ years building production MLOps pipelines (training, deployment, rollback).
• Proficiency with IaC tools (Terraform, CDK, CloudFormation).
• Deep IAM design knowledge for ML (execution roles, cross-account access).
• Strong collaboration and communication; able to work independently.

Responsibilities

• Architect cloud-native platform capabilities powering production ML workloads.
• Drive platform standardization with SageMaker Unified Studio setup.
• Build and maintain automated MLOps pipelines for data, training, deployment.
• Govern ML lifecycle with model versioning, lineage, cross-account promotion.
• Enable reproducible experiments with MLflow tracking.
• Strengthen platform security with IAM and Okta SSO and SailPoint.
• Deliver real-time and batch prediction workflows and monitor quality.
• Own platform observability with CloudWatch and Datadog.
• Collaborate with technical and business teams to accelerate AI delivery.

Skills

Cloud platforms

Machine Learning

AWS

SageMaker

MLOps

IAM design

Collaboration

Education

Bachelor's degree in software engineering / cloud / ML

Tools

Terraform / CDK / CloudFormation

SageMaker Studio

Okta SSO / IAM

CloudWatch / Datadog

Job description

Overview

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high‑quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream. Do. Grow. with us. An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world‑changing company—delivering on Toyota's vision to move people beyond what's possible. At TFS, you will help create best‑in‑class customer experience in an innovative, collaborative environment.

Employment Eligibility

You must have the right to work in the United States and not require Toyota support or sponsorship for immigration‑related employment. If you will require immigration assistance now or in the future, do not apply for this role.

What you’ll be doing

• Architect cloud‑native platform capabilities that power production ML workloads and support enterprise‑scale adoption
• Drive platform standardization by standing up SageMaker Unified Studio, including domain configuration, project provisioning, and persona‑based access
• Build and maintain automated MLOps pipelines that streamline data extraction, training, model registration, and deployment
• Govern the ML lifecycle through model versioning, lineage tracking, and cross‑account promotion using SageMaker Model Registry
• Enable reproducible experimentation by configuring MLflow for robust tracking of parameters, metrics, and artifacts
• Strengthen platform security by implementing identity and access controls with Okta SSO and SailPoint
• Deliver reliable real‑time and batch prediction workflows while proactively monitoring model performance, drift, and data quality
• Own platform observability and operational excellence through CloudWatch, Datadog, and root cause analysis
• Collaborate across technical and business teams to improve workflows, remove friction, and accelerate delivery of AI solutions

What you bring

• A bachelor’s degree in a relevant field that provides a strong foundation in software engineering, cloud platforms, or machine learning
• 7+ years of software engineering experience in cloud infrastructure or ML platform operations, with experience navigating complex production environments
• 4+ years of hands‑on AWS experience, including Amazon SageMaker Studio, Pipelines, Model Registry, Endpoints, and Feature Store
• 3+ years of experience building and operating production MLOps pipelines, including training, versioning, deployment, and rollback strategies
• Proficiency with infrastructure‑as‑code tools such as Terraform, CDK, or CloudFormation to build repeatable, scalable environments
• Deep understanding of IAM design for ML, including execution roles, service roles, and cross‑account access management
• Strong collaboration and communication skills, with the ability to work independently while partnering effectively across teams
• Added bonus if you have advanced knowledge of SageMaker Unified Studio, including domain provisioning, custom blueprints, and project standardization
• Hands‑on experience with SageMaker Feature Store for online and offline feature management
• Experience using SageMaker Model Monitor for data quality checks, bias detection, and drift detection
• An AWS Machine Learning Specialty certification that demonstrates deeper technical expertise

What we’ll bring

• A work environment built on teamwork, flexibility, and respect
• Professional growth and development programs to help advance your career, as well as tuition reimbursement
• Team Member Vehicle Purchase Discount
• Toyota Team Member Lease Vehicle Program (if applicable)
• Comprehensive healthcare and wellness plans for your entire family
• Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute
• Paid holidays and paid time off
• Referral services related to prenatal services, adoption, childcare, schools, and more
• Tax Advantage Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)
• Relocation assistance (if applicable)

EEO Statement

Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.