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Applied Scientist (AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Applied Scientist (AI): Developing and optimizing deep-learning, generative AI, and multimodal models for practical applications across finance, oil and gas, environmental science, and healthcare with an accent on computer vision, natural language processing, and audio signal processing. Focus on designing scalable algorithms, integrating models into products, conducting proofs of concept, and translating advanced research into customer solutions.
Location: Abu Dhabi, United Arab Emirates
Company
Inception42, a company, develops domain-specific and industry-agnostic AI products for practical deployment across multiple industries.
What you will do
- Design, analyze, and optimize foundational and applied AI algorithms and deep-learning models.
- Develop multimodal solutions that process text, audio, and visual data for semantic understanding and human-machine interaction.
- Collaborate with researchers, engineers, and product teams to improve algorithm efficiency, reliability, and scalability.
- Integrate algorithms and models into products and conduct proofs of concept based on client needs.
- Identify opportunities to improve customer business efficiency and support business development with pre-sales and post-sales technical expertise.
Requirements
- M.Sc. or Ph.D. in computer science, engineering, AI, or a related field.
- At least 6 years of experience developing AI algorithms across multiple modalities.
- Demonstrated high-level research experience, preferably supported by peer-reviewed publications or product-driven research and development.
- Strong knowledge of current AI and machine learning developments.
- Excellent communication skills and a curious, inquisitive approach to problem-solving.
Nice to have
- Specialization in computer vision, natural language processing, or speech and audio.
Culture & Benefits
- Work on AI systems designed for practical deployment at scale.
- Apply AI technologies across finance, oil and gas, environmental science, healthcare, and other industries.
- Contribute to research and development with potential societal impact and real-world applications.
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