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5 часов назад

Machine Learning Software Development Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Ireland
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Machine Learning Software Development Engineer (AI): Building and deploying production-ready ML/LLM-powered systems and autonomous AI agents for hirify.global Operations & Supply Chain with an accent on full-stack development, MLOps, and multi-system orchestration. Focus on solving highly ambiguous operational challenges by integrating traditional ML with modern agentic architectures to automate complex decision-making at scale.

Location: Onsite in Dublin, Ireland

hirify.global is a global technology company focused on e-commerce, cloud computing, and artificial intelligence.

What you will do

  • Build and deploy ML/LLM-powered features across the full stack, from data pipelines to user-facing tools.
  • Implement AI agent components to automate complex operational workflows across multiple systems.
  • Develop internal front-end applications and dashboards to make AI outputs accessible to non-technical users.
  • Build integrations across internal APIs, databases, and servers to enable multi-system orchestration.
  • Contribute to the full ML lifecycle, including experimentation, deployment, monitoring, and evaluation.
  • Implement guardrails and human-in-the-loop patterns for production AI systems.

Requirements

  • Bachelor's degree or equivalent in a technical field.
  • Professional experience in software development.
  • Experience in machine learning, data mining, or natural language processing.
  • Experience designing or architecting reliable and scalable systems.
  • Proficiency in at least one software programming language.
  • Must be based in or able to work onsite in Dublin, Ireland.

Culture & Benefits

  • Opportunity to work on high-impact AI solutions at the scale of hirify.global Operations.
  • Collaborative cross-functional environment with scientists and product managers.
  • Commitment to diversity, inclusion, and equal opportunity employment.
  • Access to internal tools and state-of-the-art AI research.
  • Support for workplace accommodations and adjustments.

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