Senior Applied Scientist (Inception42)

Inception42, a G42 company, is the region\u2019s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception42 functions as the core intelligence layer \u2013 transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception42 is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai 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. 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 \u00A0 Engage 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. Ideally, you\u2019ll also need A highly curious and inquisitive approach to problem-solving In-depth knowledge of the latest developments in AI and machine learning Why Inception42 Inception42 is building AI systems designed for practical deployment at scale \u2014 across industries, infrastructure, and national-level initiatives. If you want to work close to both advanced AI capability and real-world execution, we\u2019d like to hear from you. Inception42, a G42 company, is the region\u2019s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception42 functions as the core intelligence layer \u2013 transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception42 is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai 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. 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 sc

What we look for: A highly curious and inquisitive approach to problem-solving; in-depth knowledge of the latest developments in AI and machine learning; performance-driven mindset with the agility to adapt to ambiguity; eagerness to build meaningful collaborations with stakeholders and create customer-centric solutions; bias for action and a passion to conquer new frontiers in the AI space. Ideally, strong ability to engage across teams for design, development, and integration of AI algorithms and models; familiarity with engaging in pre-sales and post-sales technical support to business development teams.

Engage in design, analysis and optimization of foundational and applied research to power state-of-the-art AI algorithms and model capabilities. Work on solutions that integrate text, audio, and visual data (multimodal) to enhance understanding of human interaction. Collaborate with researchers and engineers across teams to design, develop, and continually improve AI algorithms with emphasis on efficiency, reliability, and scalability. Work with product teams to integrate new algorithms and models into broader product offerings 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.