Senior Applied Scientist (Inception)

Inception is seeking a highly proficient and accomplished Sr. Applied Scientist, with a proven track record, 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. The opportunity Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike. Inception is the UAE\u2019s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region. Your key responsibilities\u00A0 In the Sr. Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios. o \u00A0 \u00A0Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios. o \u00A0 \u00A0Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner. o \u00A0 \u00A0Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability. o \u00A0 \u00A0Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders. o \u00A0 \u00A0Propose scenarios where AI techniques could improve the efficiency of the customer\u2019s business. o \u00A0 \u00A0Provide pre-sales and post-sales technical support to the business development team. Skills and attributes for success\u00A0 The criteria for your success would include cost savings achieved, number of use cases investigated & datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS. To qualify, you must have o \u00A0 \u00A0M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable. o \u00A0 \u00A0Minimum 8 years of experience in developing AI algorithms for various modalities o \u00A0 \u00A0Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development. Ideally, you\u2019ll also need o \u00A0 \u00A0A highly curious and inquisitive approach to problem-solving o \u00A0 \u00A0In-depth knowledge of the latest developments in AI and machine learning o \u00A0 \u00A0Excellent communication skills \u00A0 \u00A0 \u00A0 What we look for\u00A0 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. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community. What working at Inception offers\u00A0 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations. Ca

M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable. Minimum 8 years of experience in developing AI algorithms for various modalities. Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.

Design, analyze and optimize foundational and applied research to power state-of-the-art AI algorithms and model capabilities; stay informed of emerging trends, work with complex datasets, and conceptualize innovative, real-world applicable models; develop comprehensive, multi-modal solutions that integrate text, audio, and visual data; collaborate across teams to design, develop, and continually improve AI algorithms for efficiency, reliability, and scalability; work with product teams to integrate new algorithms and models into broader offerings and conduct proofs of concept as required by clients; propose scenarios where AI techniques could improve customer business efficiency; provide pre-sales and post-sales technical support to the business development team.