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6 дней назад

Lead AI Engineer (Generative AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Armenia
Релокация
Armenia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead AI Engineer (Generative AI): Building generative AI systems and foundation models for biological, imaging, sequencing, and digital pathology data with an accent on multimodal architectures, scientific rigor, and scalable deployment. Focus on leading ML engineers and researchers, integrating diffusion models and LLM-based automation, and translating oncology research needs into production AI solutions.

Location: Hybrid in Armenia, with an office in Yerevan. Relocation to Yerevan is supported for candidates and their immediate family members.

Company

hirify.global is a biotechnology company developing precision oncology and personalized healthcare solutions by integrating biological, clinical, imaging, and genomic data with artificial intelligence.

What you will do

  • Lead the end-to-end development of generative AI systems integrating biological, imaging, sequencing, and digital pathology data.
  • Design foundation model architectures and ensure scientific and computational rigor.
  • Lead, mentor, and provide technical guidance to ML engineers and researchers.
  • Partner with scientists, engineers, and product teams to define outcomes, requirements, and data strategies.
  • Evaluate new methodologies, propose research directions, and lead proof-of-concept initiatives.
  • Guide LLM-based automation and multimodal diffusion architectures into production while maintaining data quality, reproducibility, audit readiness, and GCP/GCLP compliance.

Requirements

  • 5+ years of experience in machine learning and computer vision.
  • Proven experience designing complex generative or multimodal AI systems.
  • Expert-level Python and PyTorch skills.
  • Deep expertise in generative modeling, including diffusion models, VAEs, and multimodal architectures.
  • Experience processing large-scale biological data such as RNA-seq, xCR, and digital pathology data.
  • Strong knowledge of MLOps, experiment tracking, scalable model deployment, statistical analysis, and experimental design.

Nice to have

  • Master’s or PhD in machine learning, bioinformatics, computational biology, biomedical engineering, or a related field.
  • Experience leading teams, establishing processes, and driving ML strategy.
  • Experience integrating LLM-based automation and designing complex multimodal systems.

Culture & Benefits

  • Full-time position with a permanent contract, flexible working hours, and a hybrid work format.
  • Relocation support to Yerevan, including documentation, residence permits, bank accounts, and school contacts.
  • Competitive salary and comprehensive health insurance.
  • English courses, gym plan, office snacks, structured onboarding, and mentorship.
  • Multidisciplinary collaboration with bioinformaticians, biologists, physicians, and software engineers.

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