Inception, a company, is seeking a highly proficient and accomplished Sr. Applied Scientist to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with product development teams, applying emerging technologies across a diverse range of applications.
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Location: Abu Dhabi, Abu Dhabi, United Arab Emirates
Responsibilities
- Play a crucial part in pioneering research and development across various facets of AI, including computer vision, natural language processing, and audio signal processing.
- Create and optimize cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding and human-machine interactions.
- Engage in the design, analysis, and optimization of foundational and applied research to power state-of-the-art AI algorithms at Inception.
- Collaborate with researchers and engineers across teams to continually improve AI algorithms, ensuring efficiency, reliability, and scalability in implementations.
- Work alongside product development teams to integrate new algorithms and conduct proofs of concept (POC) as per client needs.
- Propose scenarios where AI techniques could improve customer business efficiency.
- Provide pre-sales and post-sales technical support to the business development team.
Qualifications
To qualify, you must have:
- M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field, with specialization in Computer Vision, Natural Language Processing, or Speech and Audio highly desirable.
- Minimum of 8 years of experience in developing AI algorithms for various modalities.
- A track record of conducting high-level research, evidenced by publications in peer-reviewed journals or a history of product-driven R&D.
Ideally, you’ll also need
- A highly curious and inquisitive approach to problem-solving.
- In-depth knowledge of the latest developments in AI and machine learning.
- Excellent communication skills.
- Experience and knowledge in the Oil & Gas sector.
Work Conditions
- A hybrid work policy, promoting a balance between office and home.
- Competitive remuneration package with various perks, including healthcare, education support, and leave benefits.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
