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2 дня назад

AI/ML Engineer

105 000 - 154 000$
Формат работы
onsite
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/Machine Learning): Building, deploying, and operating scalable AI applications and production ML infrastructure with an accent on training automation, cloud-native systems, and collaboration across engineering disciplines. Focus on developing RAG pipelines, serving large language models, and operating containerized workloads with Docker and Kubernetes.

Location: Secaucus, New Jersey, United States

Base salary: $105,000–$154,000 per year

Company

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

What you will do

  • Build, deploy, and operate AI applications and scalable machine learning solutions.
  • Automate model training and deployment workflows.
  • Support production AI infrastructure and cloud-native systems running on premises.
  • Develop production-grade Python services and APIs using FastAPI and asynchronous programming.
  • Collaborate with software engineers, data scientists, and platform engineers.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
  • 2–5+ years of professional experience in machine learning, AI, software engineering, or a related field.
  • Strong Python programming skills, including FastAPI, asynchronous programming, and production-grade development.
  • Understanding of machine learning fundamentals and familiarity with PyTorch, TensorFlow, or scikit-learn.
  • Experience with Linux, Docker, containerized applications, Kubernetes fundamentals, and Git.
  • Strong problem-solving skills and the ability to work in a collaborative engineering environment.

Nice to have

  • Familiarity with large language models and prompt engineering.
  • Experience building end-to-end RAG pipelines, including chunking, embedding, retrieval, and reranking.
  • Experience with LLM serving frameworks such as vLLM or Ollama and vector databases such as Qdrant.
  • Frontend experience with TypeScript and Next.js.
  • Experience with orchestration tools such as Kubeflow or KubeRay.

Culture & Benefits

  • Collaborative, inclusive workplace focused on practical innovation and continuous learning.
  • Competitive base salary and eligibility for a performance-based annual bonus.
  • 401(k), tuition reimbursement, paid time off, company-paid holidays, and parental leave.
  • Medical, dental, and vision coverage, mental health resources, wellness support, and company-paid life and disability insurance.
  • Structured training, on-the-job learning, matching gifts, and volunteer programs.

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