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4 дня назад

AI/ML Engineer (Python/Kubernetes)

Тип работы
fulltime
Грейд
middle
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 Engineer (Python/Kubernetes): Building and operating scalable AI applications, ML training and deployment pipelines, and production infrastructure with an accent on Python services, container orchestration, and retrieval-augmented generation. Focus on designing RAG pipelines, serving LLMs with vLLM and Ollama, integrating vector databases, and automating complex workflows with Kubeflow and Kuberay.

Location: Not specified. Certain positions may require U.S. citizenship or nationality, lawful permanent residence, refugee or asylee status, or eligibility for an export-control license or exception.

Company

hirify.global, a Sanmina Company, designs, builds, and delivers technology infrastructure and AI solutions for enterprise customers.

What you will do

  • Develop, deploy, and operate scalable machine learning solutions and production AI infrastructure.
  • Automate ML training and deployment workflows to improve operational efficiency.
  • Design production-grade Python services using FastAPI, asynchronous programming, and containerized architectures.
  • Deploy and manage applications on Linux with Docker and Kubernetes.
  • Build end-to-end RAG pipelines covering chunking, embeddings, retrieval, and reranking.
  • Implement LLM serving with vLLM and Ollama, integrate Qdrant, and orchestrate workflows with Kubeflow and Kuberay.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
  • At least 2 years of professional experience in machine learning, AI, or software engineering.
  • Strong Python skills, including FastAPI and asynchronous programming, plus experience with PyTorch, TensorFlow, or scikit-learn.
  • Hands-on experience with Linux, Docker, Kubernetes deployments, pods, jobs, and Git.
  • Strong problem-solving skills in a collaborative engineering environment.
  • Some positions may require U.S. citizenship, U.S. lawful permanent residence, refugee or asylee status, or eligibility for an export-control license or exception.

Nice to have

  • Familiarity with LLMs and prompt engineering.
  • Experience with Next.js and TypeScript frontend tools.
  • Experience with workflow orchestration engines.

Culture & Benefits

  • Collaborative, fast-paced engineering environment focused on continuous improvement.
  • Competitive base salary and performance-based annual bonus eligibility.
  • 401(k), tuition reimbursement, and comprehensive medical, dental, and vision coverage.
  • Paid time off, company-paid holidays, parental leave, and family care support.
  • Training programs, on-the-job learning, wellness resources, and company-paid life and disability insurance.

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