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2 месяца назад

Senior Machine Learning Engineer (ASR)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Denmark
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Machine Learning Engineer (ASR): Building and operating medical-grade speech recognition systems with an accent on model training, fine-tuning, and low-latency inference at scale. Focus on optimizing ASR performance for clinical environments, implementing robust validation practices, and managing the full lifecycle of speech models.

Location: Copenhagen, Denmark (Onsite)

Company

hirify.global is an AI platform building the intelligence layer for global healthcare by providing medical-grade speech recognition and reasoning tools to improve clinical outcomes.

What you will do

  • Design and execute data strategies for training high-precision speech recognition models.
  • Fine-tune ASR models to meet the specific demands of medical dialogue.
  • Develop and maintain low-latency inference services for production environments.
  • Build strong validation and monitoring practices to ensure system reliability.
  • Collaborate with product and platform teams to embed speech intelligence into healthcare products.
  • Take end-to-end ownership of the ASR lifecycle from research to deployment.

Requirements

  • Must be based in or able to work from Copenhagen, Denmark.
  • Strong experience in machine learning engineering with a focus on speech recognition.
  • Proven track record of training and fine-tuning models at scale.
  • Expertise in building reliable, low-latency inference services.
  • Proficiency in programming and ML framework best practices.
  • Strong collaborative skills and experience working within cross-functional teams.

Culture & Benefits

  • Opportunity to build AI that impacts global healthcare and patient outcomes.
  • Work on high-impact, medical-grade infrastructure in a specialized domain.
  • Collaborative engineering culture that values measurement and practical implementation.
  • Commitment to diversity, equity, and inclusion in hiring and team building.

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