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2 дня назад

Head Of AI Engineering (AI)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
France/Spain/Portugal +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Head of AI Engineering (AI): Leading the end-to-end AI and ML technology strategy with an accent on building production-grade ML pipelines for text and voice analysis. Focus on transitioning from 0 to 1, defining scalable architecture, and ensuring compliance and reliability in a security-sensitive environment.

Location: Must be based in France, Spain, Portugal, or Belgium

Company

hirify.global is a Strasbourg-based startup developing safe, compliant AI solutions for human-AI interactions with a focus on voice and emotion analysis.

What you will do

  • Define the long-term technical strategy for AI systems, covering data ingestion to model deployment.
  • Build and scale production-grade ML pipelines from scratch (0 to 1).
  • Embed security, privacy, and compliance frameworks directly into data infrastructure.
  • Lead and mentor high-performing teams of AI, ML, and data engineers.
  • Drive best practices for MLOps, including monitoring, drift detection, and performance tracking.
  • Partner with product, security, and GTM teams to align AI capabilities with business requirements.

Requirements

  • 6+ years of experience in data engineering, ML engineering, or applied AI roles.
  • Proven track record of building production ML systems from scratch and scaling them.
  • Deep programming expertise in Python.
  • Strong background in data processing frameworks (Spark, Beam, Kafka).
  • Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
  • Experience leading technical teams and setting engineering standards.

Nice to have

  • PhD in Machine Learning, AI, or related field.
  • Experience in regulated or security-sensitive environments.
  • Proficiency in Scala or Java.

Culture & Benefits

  • Opportunity to work at the intersection of voice AI technology and regulatory compliance.
  • Collaborative, high-energy remote-first work environment.
  • Direct influence on product, marketing, and business strategy within a high-growth market.

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