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2 дня назад

Senior / Principal AI Engineer (Applied AI)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
France/Spain/Portugal +2 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR

Senior / Principal AI Engineer (Applied AI): Designing and scaling applied AI systems for text and voice analysis with an accent on time-series and sequential data. Focus on building end-to-end production models, optimizing ML pipelines, and driving architecture decisions for real-world signal analysis.

Location: Must be based in France, Spain, Portugal, Italy, or Germany

Company

hirify.global is a Strasbourg-based technology company building responsible AI solutions for secure voice and emotion data analysis in healthcare and enterprise sectors.

What you will do

  • Design, train, and evaluate ML models specifically for text and voice analysis.
  • Work on complex time-series and sequential modeling problems, applying techniques like windowing and decay.
  • Build and evolve ML pipelines to support continuous experimentation and reliable production deployment.
  • Own feature engineering, labeling strategies, and performance evaluation metrics.
  • Collaborate with data engineering teams on ETL processes, data quality, and model registries.
  • Mentor engineering staff and influence modeling approaches across the product.

Requirements

  • 5+ years of experience in AI Engineering or Applied Machine Learning.
  • Proven track record of building and owning production ML models.
  • Strong programming proficiency in Python.
  • Experience with PyTorch, TensorFlow, or scikit-learn.
  • Solid understanding of time-series or sequential modeling techniques.
  • Must be located in France, Spain, Portugal, Italy, or Germany.

Nice to have

  • Experience working with streaming or near-real-time data.
  • Familiarity with Spark or Kafka data frameworks.
  • Experience working with voice or audio data.

Culture & Benefits

  • Focus on applied AI and modeling impact over pure MLOps infrastructure.
  • Opportunity to own AI systems from development to production.
  • Collaborative environment focused on ethics, healthcare compliance, and responsible AI.
  • Professional growth through mentorship and technical leadership.

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