AI/ML Platform Engineer - Cloud, MLOps & GenAI

Toyota North America; Plano (TX); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Health care and wellness plans

Tuition reimbursement

401(k) with company match

Relocation assistance

Job summary

Toyota Financial Services is seeking an AI/ML Platform Engineer to help build and operate cloud-native platform capabilities that enable enterprise MLOps and LLMOps. You will contribute hands-on engineering across APIs, services, and deployment pipelines.

This early-career role (1–3 years of professional experience) offers growth under senior team mentorship and opportunities to impact production AI/ML delivery in a collaborative environment.

Qualifications

• 2+ years of professional software engineering experience.
• Bachelor’s degree in Computer Science, Computer Engineering, or related field.
• Experience in AWS or similar cloud providers.
• Familiarity with CI/CD pipelines and containers.

Responsibilities

• Design, build, test, and maintain cloud-native platform components and services that support AI/ML and LLM workloads.
• Help implement and operate MLOps and LLMOps capabilities such as model deployment pipelines, monitoring, and reliability.
• Build integrations with AWS AI/ML services (SageMaker, Bedrock) and related tooling.
• Help build and maintain CI/CD pipelines, infrastructure-as-code, and deployment automation.
• Troubleshoot production issues and improve reliability, latency, and cost.

Skills

Python

JavaScript/TypeScript

CI/CD

Git/GitHub

AWS

Analytical/problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

Git/GitHub

Docker

Terraform

Job description

Toyota Financial Services is seeking an AI/ML Platform Engineer to help build and operate cloud-native platform capabilities that enable enterprise MLOps and LLMOps. You will contribute hands-on engineering across APIs, services, and deployment pipelines.

This early-career role (1–3 years of professional experience) offers growth under senior team mentorship and opportunities to impact production AI/ML delivery in a collaborative environment.