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Principal AI/ML Engineer (SaaS)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Principal AI/ML Engineer (SaaS): Building and scaling the AI/ML infrastructure and pipelines that power Aily’s decision intelligence platform with an accent on end-to-end ML lifecycle management and production-grade system design. Focus on leading technical initiatives, mentoring engineers, and defining org-wide standards for AI/ML development at scale.

Location: Must be based in or able to work from Munich, Germany (Hybrid: 2 days/week in office)

Company

hirify.global is a B2B SaaS company building an AI-powered decision intelligence platform that provides actionable insights for global enterprises.

What you will do

  • Design and implement end-to-end ML pipelines from data ingestion to deployment and monitoring.
  • Develop and maintain APIs, tools, and libraries used by the broader AI team.
  • Lead a team of 4+ AI/ML engineers and own their technical roadmap.
  • Define and enforce org-wide software and ML standards.
  • Collaborate with cross-functional teams including DevOps, Data Engineering, and Product to ensure system reliability.
  • Mentor junior team members and act as a technical reference for AI platform strategy.

Requirements

  • 7+ years of experience in software engineering and AI/ML systems.
  • Strong proficiency in Python and modern AI/ML stacks (AWS, FastAPI, Docker, Kubernetes, CI/CD, Airflow).
  • Proven experience in designing and scaling production-ready AI/ML infrastructure.
  • Ability to lead complex technical projects and manage multiple initiatives in parallel.
  • Strong communication skills with the ability to explain technical trade-offs to non-technical stakeholders.
  • Must be able to work from the Munich office 2 days per week.

Culture & Benefits

  • Global team environment with 350+ employees across multiple international hubs.
  • Opportunity to work at the intersection of AI, business, and product development.
  • Focus on impact-driven work and building real-world decision intelligence systems.
  • Collaborative culture with a startup mindset and emphasis on technical excellence.

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