Inception, a company, is the region’s leading innovator of AI-powered domain-specific products. We are looking for a highly proficient and accomplished Senior 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 our product development teams, applying emerging technologies across a diverse range of applications.
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Responsibilities
- Pioneer 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.
- Collaborate with researchers and engineers for the design, development, and continual improvement of AI algorithms, ensuring their implementation is efficient, reliable, and scalable.
- Work alongside product development teams to integrate new algorithms and models into broader product offerings and conduct proofs of concept as per client needs.
- Propose scenarios where AI techniques could improve the efficiency of the customer’s business.
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.
- Minimum of 8 years of experience in developing AI algorithms for various modalities.
- Proven track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
What We Look For
If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions.
Work Conditions
- Culture: An open, diverse, and inclusive environment that encourages personal growth.
- Career: Outstanding learning, development, and growth opportunities via structured training programs.
- Work-Life: A hybrid work policy to balance office and home work effectively.
- Rewards: A competitive remuneration package with healthcare, education support, and leave benefits.
Location
Abu Dhabi, Abu Dhabi, United Arab Emirates.
