More jobs:
Lead Applied Scientist
Job in
Abu Dhabi, UAE/Dubai
Listed on 2026-07-25
Listing for:
Group 42
Full Time
position Listed on 2026-07-25
Job specializations:
-
Research/Development
AI Business & Operations, Data Scientist -
IT/Tech
AI Engineer (Applied/Software), AI Business & Operations, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
Lead Applied Scientist
Inception, the UAE’s national‑scale AI research enabler, seeks a visionary Lead Applied Scientist to spearhead advanced AI research and guide multidisciplinary teams in developing transformative deep‑learning and generative AI solutions. The role requires a seasoned expert capable of translating cutting‑edge research into scalable, high‑impact applications.
Responsibilities- Architect next‑generation AI systems and innovation pipelines.
- Lead, mentor, and inspire a multidisciplinary team of scientists and engineers to achieve ambitious R&D milestones.
- Define and drive Inception’s applied AI research roadmap, identifying emerging technologies and methodologies.
- Design and oversee the development of generative and deep‑learning models that integrate vision, language, audio, and sensor modalities.
- Partner with product, engineering, and business teams to translate research into deployable AI systems and enterprise‑grade products.
- Ensure model scalability, reliability, and efficiency through rigorous experimentation, optimization, and operational excellence.
- Represent Inception at external forums, research partnerships, and conferences, advancing thought leadership.
- Evaluate project success through measurable outcomes such as innovation impact, deployment efficiency, IP generation, and customer satisfaction.
- Ph.D. or M.Sc. in Computer Science, Engineering, or an AI‑related discipline with 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.
- Demonstrated expertise in designing and deploying large‑scale AI models and systems.
- Proven record of research contributions, including publications, patents, or industry innovation initiatives.
- Deep understanding of emerging AI paradigms such as foundation models, generative architectures, and reasoning systems.
- Strong strategic thinking, project management, and leadership skills.
- Excellent communication and stakeholder management capabilities.
- Experience in AI commercialization from conceptualization to production deployment.
- Must repay mandatory mandatory mandate obligations upon mandate fulfillment.
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