4 дня назад
AI/ML Platform Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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