обновлено 8 дней назад
Lead Applied Scientist (AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
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 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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