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12 часов назад

Principal AI/ML Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior/principal
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Principal AI/ML Engineer (AI): Building and scaling AI/ML infrastructure and pipelines for an AI-powered decision intelligence platform with an accent on turning models into reliable, scalable products. Focus on enabling innovation at scale, minimizing entropy, and accelerating progress for enterprise AI solutions.

Location: Hybrid (2 days per week in the office) in Madrid or Barcelona, Spain.

Company

hirify.global is a B2B SaaS company building an AI-powered decision intelligence app for enterprises, founded in 2020.

What you will do

  • Partner with Data Scientists and Engineers to bring AI solutions to production.
  • Design and implement end-to-end ML pipelines (data→model→deployment→monitoring).
  • Contribute to APIs, tools, and libraries used by over 100 AI team members daily.
  • Own complex projects and lead technical initiatives from design to implementation.
  • Shape AI Platform strategy across teams and be a technical reference for Aily’s AI team.
  • Lead cross-team design sessions, define, enforce, and maintain org-wide standards.

Requirements

  • Minimum 3+ years of experience in AI/ML engineering (3+ Mid, 4+ Senior, 6+ Principal).
  • Strong Python, solid AI/ML fundamentals and deep AI/ML knowledge.
  • Experience with APIs, Kubernetes, Docker, and Cloud platforms.
  • Strong software engineering practices and outstanding problem-solving skills.
  • Ability and willingness to lead and mentor junior team members.
  • Required to work hybrid (2 days per week in office) from Madrid or Barcelona, Spain.

Culture & Benefits

  • Impact-driven role thriving at the intersection of AI, business, ML engineering, and product.
  • Opportunity to build reliable solutions, improve systems, and make things work in production at scale.
  • Collaborative environment, working with Data Scientists, Product Managers, and Engineers.
  • Startup mindset: comfortable with ambiguity, proactive, hands-on.
  • Hybrid work policy, with 2 days per week in the office.

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