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Senior AI/ML Engineer (AI)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Armenia/Kazakhstan/Europe +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR

Senior AI/ML Engineer: Architecting and implementing scalable ML/LLM systems that handle large volumes of data and near real-time processing with an accent on security, reliability, latency, and cost optimization. Focus on building modular, maintainable, well-tested Python services and workflow components.

Location: EU, Armenia, Kazakhstan, Georgia

Company

hirify.global is a company with an excellent tech expertise.

What you will do

  • Architect and implement scalable ML/LLM systems that handle large volumes of data and near real-time processing.
  • Build modular, maintainable, well-tested Python services and workflow components.
  • Design and implement enterprise integrations for agentic workflows using relevant platform APIs.
  • Perform quality assurance and data normalization across pipelines.
  • Automate the creation of clear, user-friendly reports and outputs based on agent results.
  • Collaborate closely with stakeholders and engineers across teams to deliver solutions.

Requirements

  • Strong proficiency in Python, including asyncio.
  • Solid experience building REST APIs.
  • Familiarity with ML frameworks and libraries such as PyTorch / TensorFlow (Keras), numpy, scikit-learn.
  • Experience with LLM agents, including handling state, context, memory, iterative loops, and output validation.
  • Experience working with databases / data stores (PostgreSQL/MySQL, NoSQL, S3).
  • Experience evaluating ML/LLM outputs for quality, accuracy, and consistency.
  • English Level B2+

Nice to have

  • Azure ecosystem experience: Azure Functions, Azure Cognitive Services, Azure AI Vision / Document Intelligence.
  • Docker.

Culture & Benefits

  • Competitive compensation.
  • Remote or office work.
  • Flexible working hours.
  • Healthcare benefits: medical insurance and paid sick leave.
  • Continuous education, mentoring, and professional development programs.
  • Certifications paid by the company.

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