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Lead Applied Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UAE
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
Lead Applied Scientist (AI) (Generative AI/Deep Learning): Architecting and overseeing next-generation multimodal AI models and scalable applied AI systems with an accent on research strategy, model innovation, and production deployment. Focus on leading multidisciplinary R&D teams, integrating vision, language, audio, and sensor data, and translating advanced research into enterprise-grade products.

Location: Abu Dhabi, United Arab Emirates

Company

Inception, a hirify.global company, develops domain-specific and industry-agnostic AI products by combining research, data, and compute infrastructure into applied solutions.

What you will do

  • Define and drive the applied AI research roadmap, identifying emerging technologies and methodologies.
  • Architect and oversee generative and deep-learning models across vision, language, audio, and sensor data.
  • Lead, mentor, and inspire multidisciplinary teams of scientists and engineers.
  • Partner with product, engineering, and business teams to turn research into deployable AI systems and enterprise products.
  • Improve model scalability, reliability, efficiency, and deployment performance through experimentation and optimization.
  • Represent the organization in research partnerships, conferences, and external innovation forums.

Requirements

  • Ph.D. or M.Sc. in Computer Science, Engineering, AI, or a related discipline.
  • Specialization in machine learning, computer vision, NLP, or multimodal AI.
  • 10–12 years of AI research and product development experience, including at least 3 years leading R&D teams or major AI projects.
  • Experience designing and deploying large-scale AI models and systems.
  • Research contributions through publications, patents, or industry innovation initiatives.
  • Strong strategic thinking, project management, leadership, communication, and stakeholder management skills.

Nice to have

  • Deep understanding of foundation models, generative architectures, and reasoning systems.
  • Experience commercializing AI from research conceptualization through production deployment.

Culture & Benefits

  • Open, diverse, and inclusive environment with a global vision.
  • Structured training, learning, development, and growth opportunities.
  • High-tech projects focused on practical, industry-first AI innovation.
  • Competitive remuneration package with healthcare, education support, and leave benefits.

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