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4 дня назад

AI/ML Platform Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI/ML Platform Engineer (AWS/MLOps/LLMOps): Building and operating cloud-native platform services, deployment pipelines, and automation for enterprise AI/ML and GenAI applications with an accent on AWS integrations, model delivery, and operational reliability. Focus on developing SageMaker and Bedrock integrations, implementing CI/CD and infrastructure automation, and troubleshooting production performance, latency, and cost challenges.

Location: Plano North, United States. Applicants must already have the right to work in the United States and must not require employment-based visa or work authorization sponsorship.

Company

hirify.global includes Toyota Financial Services, a finance and insurance business supporting Toyota and Lexus customers through technology-driven services.

What you will do

  • Design, build, test, and maintain cloud-native platform components for AI/ML and LLM workloads.
  • Implement and operate MLOps and LLMOps capabilities, including model deployment pipelines, monitoring, and reliability improvements.
  • Build integrations with AWS AI/ML services such as Amazon SageMaker and Amazon Bedrock, model registries, vector data stores, model endpoints, and orchestration tools.
  • Develop and maintain CI/CD pipelines, infrastructure-as-code, and deployment automation with platform and DevOps teams.
  • Troubleshoot production issues and analyze metrics to improve reliability, latency, and cost.
  • Apply engineering standards for code quality, testing, documentation, and Agile delivery.

Requirements

  • At least 2 years of professional software engineering experience; the role is designed for early-career engineers.
  • Bachelor's degree or higher in Computer Science, Computer Engineering, or a related technical field.
  • Strong programming skills in Python, JavaScript, or TypeScript.
  • Experience building and operating cloud-based applications and services on AWS or a similar cloud provider.
  • Experience with CI/CD, Git or GitHub, Docker, and automated deployments.
  • United States work authorization without current or future Toyota immigration sponsorship is required.

Nice to have

  • Exposure to MLOps, LLMOps, and AI/ML platform engineering patterns.
  • Experience with RAG pipelines, embedding workflows, prompt orchestration, or model inference services.
  • Familiarity with Terraform, CDK, CloudFormation, SageMaker, or Bedrock.

Culture & Benefits

  • Team-oriented, flexible, and respectful work environment.
  • Professional development programs and tuition reimbursement.
  • Health care, wellness plans, paid holidays, and paid time off.
  • 401(k) plan with company matching and an annual retirement contribution where applicable.
  • Vehicle purchase and lease programs, family support services, and tax-advantaged accounts.
  • Relocation assistance may be available where applicable.

Hiring process

  • Interview process includes discussion of benefits and career development opportunities.

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