AI/ML Platform Engineer – Cloud-Native MLOps

TCC Toyota Motor Credit Corporation Company; United States; On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Health care and wellness plans

401(k) Savings Plan with company match

Paid holidays and PTO

Relocation assistance (if applicable)

Tuition reimbursement

Job summary

Toyota Financial Services is seeking an AI/ML Platform Engineer for its Enterprise Platforms team. This early-career role builds and operates cloud-native platform capabilities that enable enterprise MLOps and LLMOps and support AI/ML and GenAI application delivery.

You will contribute hands-on engineering across APIs, services, deployment pipelines, and platform automation, working closely with senior engineers and product teams.

Qualifications

• 2+ years of professional software engineering experience.
• Bachelor's degree in Computer Science, Computer Engineering, or related field.
• Strong programming in Python or JavaScript/TypeScript.
• Experience building Cloud-based apps on AWS.
• Exposure to CI/CD, Git, containers (Docker), and automated deployments.

Responsibilities

• Design, build, test, and maintain cloud-native platform components for AI/ML workloads.
• Implement and operate MLOps/LLMOps capabilities including deployment pipelines.
• Build integrations with AWS AI/ML services and model registries.
• Develop CI/CD pipelines, IaC, and deployment automation with platform teams.
• Troubleshoot production issues and improve reliability, latency, and cost.
• Follow engineering standards for code quality, testing, and Agile delivery.
• Continuously learn evolving AI/ML platform technologies and practices.

Skills

Python

JavaScript/TypeScript

AWS

CI/CD

Git/GitHub

Docker

DevOps

MLOps/LLMOps

Cross-team collaboration

Education

Bachelor's degree

Tools

SageMaker

Bedrock

Terraform/CDK/CloudFormation

Job description

Toyota Financial Services is seeking an AI/ML Platform Engineer for its Enterprise Platforms team. This early-career role builds and operates cloud-native platform capabilities that enable enterprise MLOps and LLMOps and support AI/ML and GenAI application delivery.

You will contribute hands-on engineering across APIs, services, deployment pipelines, and platform automation, working closely with senior engineers and product teams.