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applied scientist

Inception

<div>
 
 Overview
 
 
 
 Inception is seeking a highly proficient and accomplished 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&rsquo;s 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&amp;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.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 In the 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.
 
 
 <ul>
 <li>
 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.
 </li>
 <li>
 Work 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.
 </li>
 <li>
 Collaborate 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.
 </li>
 <li>
 Work 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.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Skills and attributes for success
 
 
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 
 
 To qualify, you must have
 
 
 <ul>
 <li>
 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.
 </li>
 <li>
 Minimum 6 years of experience in developing AI algorithms for various modalities
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 A highly curious and inquisitive approach to problem-solving
 </li>
 <li>
 In-depth knowledge of the latest developments in AI and machine learning
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 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. 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
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Applied Scientist

<div>
 
 Overview
 
 
 
 Looking for a diligent and accomplished Principal Applied Scientist with a keen eye for detail to work directly with our engineering teams and carry G42&rsquo;s new age AI-driven products &amp; solutions from conceptualization, planning &amp; prototyping all the way to testing &amp; delivery.
 
 
 
 Responsibilities
 
 
 
 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.
 
 
 <ul>
 <li>
 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 Core42. 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.
 </li>
 <li>
 Work 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.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Core42for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work 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.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 Skills and attributes for success
 
 
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 
 
 
 Qualifications
 
 
 
 To qualify, you must have
 
 
 <ul>
 <li>
 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.
 </li>
 <li>
 Minimum 10 years of experience in developing AI algorithms for various modalities.
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 A highly curious and inquisitive approach to problem-solving
 </li>
 <li>
 In-depth knowledge of the latest developments in AI and machine learning
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 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. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
</div>

Principal Applied Scientist

Presight

<div>
 
 Overview
 
 
 
 Job Description: Principal Data Scientist | Abu Dhabi, UAE
 
 
 
 About Presight
 
 
 
 Presight is an ADX-listed public company with G42 (Abu Dhabi) as its majority shareholder and the region&rsquo;s leading big data analytics company powered by GenAI. We combine big data, advanced analytics, and AI to drive business and societal impact, helping public and private sector organizations realize their AI strategies faster.
 
 
 Position Overview
 
 
 We are seeking a Principal Data Scientist with deep expertise in large language models (LLMs) and applied AI, who can both shape the strategic direction of our GenAI capabilities and deliver cutting-edge solutions across sectors. This role goes beyond hands-on modelling&mdash;it encompasses setting the LLM and agentic AI strategy, building scalable frameworks, guiding technical teams, and influencing product and business roadmaps.
 
 
 The Principal Data Scientist will play a pivotal role in architecting Presight&rsquo;s AI ecosystem, ensuring our models are not only state-of-the-art but also aligned with organisational priorities, partner expectations, and responsible AI standards.
 
 
 
 Responsibilities
 
 
 
 Key Responsibilities
 
 
 Strategy &amp; Leadership
 
 
 <ul>
 <li>
 Define the strategic roadmap for LLMs and agent-driven AI within Presight, aligning with business goals, client needs, and regulatory frameworks.
 </li>
 <li>
 Act as the thought leader and subject matter expert, guiding executives and partners on GenAI opportunities, risks, and best practices.
 </li>
 <li>
 Mentor, coach, and upskill data scientists and engineers, building organisational capability in LLMs and applied machine learning.
 
 
 </li>
 </ul>
 Research &amp; Innovation
 
 
 <ul>
 <li>
 Stay ahead of global research in foundation models, reasoning, and multi-modal AI; assess and integrate relevant breakthroughs into Presight&rsquo;s platforms.
 </li>
 <li>
 Represent Presight in the AI ecosystem (conferences, publications, collaborations) to enhance visibility and credibility.
 </li>
 <li>
 Establish frameworks for responsible AI&mdash;bias mitigation, fairness, security, and data governance.
 
 
 </li>
 </ul>
 Solution Architecture &amp; Delivery
 
 
 <ul>
 <li>
 Oversee the design and scaling of LLM-driven applications (knowledge assistants, copilots, decision intelligence tools, domain-specific copilots).
 </li>
 <li>
 Lead the creation of agentic workflows, integrating LLMs with enterprise data, APIs, and external systems for autonomous execution.
 </li>
 <li>
 Architect multi-modal AI pipelines, combining structured and unstructured data, vision, and knowledge graphs to unlock insights.
 </li>
 <li>
 Ensure production systems meet performance, scalability, and cost-efficiency standards.
 
 
 </li>
 </ul>
 Cross-Functional Influence
 
 
 <ul>
 <li>
 Partner with product, engineering, and client teams to translate AI research into real-world impact.
 </li>
 <li>
 Guide vendor and partner selection for LLM infrastructure, orchestration frameworks, and ecosystem tools.
 </li>
 <li>
 Serve as escalation point for technical complexity in strategic programmes.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, AI/ML, Data Science, Applied Mathematics, or a related field.
 </li>
 <li>
 8+ years of progressive experience in AI/ML, with at least 3 years at a strategic or principal/lead level.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Proven leadership in defining and executing LLM/GenAI strategies in complex organisations or large-scale projects.
 </li>
 <li>
 Track record of deploying LLM-powered applications into production at enterprise scale.
 </li>
 <li>
 Experience building or influencing multi-disciplinary AI teams (data science, engineering, product).
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Deep knowledge of LLM fine-tuning, evaluation, and optimisation (RLHF, RAG, prompt engineering, alignment).
 </li>
 <li>
 Familiarity with orchestration frameworks (LangChain, LlamaIndex, Haystack) and vector databases (FAISS, Pinecone, Milvus).
 </li>
 <li>
 Expertise in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
 </li>
 <li>
 Ability to set direction, inspire teams, and communicate complex concepts to both technical and executive audiences.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Exposure to multi-agent systems and autonomous planning frameworks.
 </li>
 <li>
 Knowledge of Model Context Protocol (MCP) and advanced reasoning models.
 </li>
 <li>
 Awareness of regulatory, ethical, and societal implications of GenAI at scale.
 
 
 </li>
 </ul>
 What Presight Offers
 
 
 <ul>
 <li>
 Culture: Inclusive, diverse, and innovation-driven environment with a global vision.
 </li>
 <li>
 Impact: High-visibility role driving Presight&rsquo;s LLM and GenAI strategy across industries.
 </li>
 <li>
 Career: Leadership pathway with accelerated growth, ecosystem engagement, and the chance to shape AI adoption at national scale.
 </li>
 <li>
 Rewards: Competitive package with healthcare, education support, leave benefits, and more.
 </li>
 </ul>
</div>

Principal Data Scientist

<div>
 
 Overview
 
 
 
 
 About AIQ:
 
 
 
 AIQ is an Abu Dhabi based joint venture company between Presight and ADNOC, which focuses on developing artificial intelligence technologies. AIQ develops and commercializes AI products and applications for energy world. It aims in providing end-to-end solutions by using its data, cloud and talents to develop AI solutions that seek to reduce costs and generate revenue for its clients. AIQ embodies an innovative and entrepreneurial spirit that embraces challenges to push boundaries and seeks to welcome professionals to its team that share the desire to make meaningful and impactful contributions to its mission. Always on the cutting edge of technology, AIQ provides its talent all the opportunities to thrive and excel. Working at AIQ includes dealing with massive data sets, an AI infrastructure that is powered by the latest NVIDIA GPU cloud computing platform and access to limitless computing, storage and network resources.
 
 
 
 About The Role
 
 
 
 We are seeking an experienced Senior Data Scientist to join our team operating in the Oil and Gas sector, specifically in upstream optimization. As a Senior Data Scientist, you will play a crucial role in extracting insights from complex datasets, developing data-driven algorithms, and implementing AI solutions to optimize oil production operations. Your expertise in machine learning, deep learning, and optimization techniques will be vital in solving industry-specific challenges and driving efficiency gains in oil production processes. You will work closely with cross-functional teams to analyze data, implement, deploy and maintain solution, and deliver actionable recommendations to improve production management and maximize operational performance.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Experimentation and Prototype Development: Design, develop, and assess data-driven algorithms for various tasks (regression, classification, segmentation, etc.) using cutting-edge AI techniques.
 </li>
 <li>
 Prototype and evaluate LLM-based systems and multimodal models for tasks such as document understanding, knowledge extraction, and workflow automation.
 </li>
 <li>
 End-to-End Implementation: Hands-on implementation of AI models, from data preparation and cleaning to model deployment and maintenance in production.
 </li>
 <li>
 Integration of Pipelines: Contribute to the solution design and collaborate with teams to integrate AI-enabled software products for the oil &amp; gas industry.
 </li>
 <li>
 Monitoring Model Performance: Evaluate and monitor AI solutions to ensure they align with project objectives, addressing data quality issues and continuously improving existing solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Requirements &ndash; Experience
 
 
 
 <ul>
 <li>
 At least 4 years of experience demonstrating depth and breadth in Computer Vision projects (classification, detection, segmentation) with CV approaches.
 </li>
 <li>
 Demonstrated experience with state-of-the-art machine-learning and/or deep-learning technologies.
 </li>
 <li>
 Demonstrated experience in developing, deploying and scaling end to end ML pipelines in industrial context.
 </li>
 <li>
 Hands-on experience building and deploying LLM applications (e.g., GPT, Llama, Falcon, Claude), including fine-tuning, RAG systems, domain adaptation, or multimodal extensions.
 </li>
 <li>
 Demonstrated experience designing and implementing agentic AI systems&mdash;task-oriented agents, workflow orchestrators, tool-using agents, or autonomous reasoning frameworks.
 </li>
 <li>
 Experience in Geoscience applications to the Oil &amp; Gas sector is a plus.
 
 
 </li>
 </ul>
 
 Requirements &ndash; Key Skills
 
 
 
 <ul>
 <li>
 Strong foundation in applied mathematics and statistics.
 </li>
 <li>
 Proficiency in machine learning and deep learning techniques.
 </li>
 <li>
 Advanced Python programming skills for AI development.
 </li>
 <li>
 Extensive experience with classic CV tools (OpenCV), deep learning frameworks (PyTorch, TensorFlow), and popular ML libraries (Scikit-learn).
 </li>
 <li>
 Comprehensive knowledge and practical application of diverse ML algorithms and DL architectures.
 </li>
 <li>
 Proficiency in essential development tools like PyCharm, Jupyter, ClearML, Git, and Docker.
 </li>
 <li>
 Strong knowledge of LLM frameworks and tooling (LangChain, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs).
 </li>
 <li>
 Proficiency in prompt engineering, evaluation frameworks, and structured prompt design.
 </li>
 <li>
 Familiarity with agent frameworks (LangGraph, AutoGen, CrewAI, or custom agent architectures).
 </li>
 <li>
 Autonomy in problem-solving and project execution, demonstrating the ability to work independently and in a team framework.
 </li>
 <li>
 Excellent communication skills for conveying technical concepts effectively.
 
 
 </li>
 </ul>
 
 Educational Requirements
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree or Ph.D. in Computer Science, Applied Mathematics, Statistics, or any AI-related field.
 </li>
 </ul>
</div>

Senior Data Scientist

Presight AI Ltd.

A leading AI data analytics firm is seeking a qualified Data Scientist to develop AI-powered solutions for public safety. The role focuses on LLMs and conversational AI frameworks. Responsibilities include building autonomous AI solutions and collaborating with data scientists and engineers. Candidates should have a degree in a relevant field, along with practical experience in AI and strong programming skills, particularly in Python.

AI Data Scientist - Agentic LLMs for Public Safety

New York University Abu Dhabi

<div>
 Mubadala Arabian Center for Climate and Environmental Sciences (ACCESS) at New York University Abu Dhabi, seeks to recruit an Associate Research Scientist to investigate the molecular and genomic mechanisms underpinning the extraordinary heat tolerance of Arabian Gulf corals, the most thermally resilient corals on Earth.
 
 
 The successful candidate will lead an ambitious research program focused on understanding how individual corals and populations vary in their responses to heat stress. This work will involve the application of genomic and gene expression profiling, as well as eco-physiological assays, to reveal the mechanistic basis of thermal resilience. The position is uniquely placed to bridge fundamental molecular research with applied conservation through close collaboration with another postdoctoral researcher who is leading a selective breeding program for heat-tolerant corals. Together, these efforts will support the development of robust coral populations capable of withstanding intensifying climate-related stressors.
 
 
 Applicants must hold a PhD in biological sciences, molecular ecology, genetics, or a related field, completed by January 2024. They must also possess advanced SCUBA certification with demonstrated research-diving experience, as well as strong proficiency in molecular biology, genetics, bioinformatics, and statistical analysis. Experience conducting coral heat-stress assays and a record of first-author publications relevant to the field are essential. Preferred qualifications include a driver&rsquo;s license in the applicant&rsquo;s home country, boat-operator certification, and scientific diver credentials such as AAUS certification. Additional assets include experience with other omics approaches or epigenetics, advanced coding skills in R or Python, and prior supervisory experience with students or research staff.
 
 
 For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, transcript, statement of research interests and three letters of reference, all in PDF format. If you have any questions, please email Kelly Bradham at kelly.bradham@nyu.edu.
 
 
 The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a one-page summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. If you have any questions, please email: mrasras@nyu.edu.
 
 
 
 About NYU Abu Dhabi
 
 
 
 https://nyuad.nyu.edu/en/
 
 
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 
 
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 
 
 UAE Nationals are encouraged to apply.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
 
 
 
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Associate Research Scientist in Mubadala Arabian Center for Climate and Environmental Sciences – Dr. John Burt

Higher Colleges of Technology

Overview Position Summary. The Faculty of Business - Business Analytics will contribute to advancing the curriculum of Business Analytics, delivery and relevance to industry and high international standards. In addition to teaching, the faculty plays a role in meeting the division research goals and objectives and uses research activities to inform teaching and develop students analytical and problem-solving skills. The candidate will play an active role in curriculum development, assessment, and evaluation. The curriculum is taught within an applied student-centric learning environment that fosters respect for students, their culture, and their traditions. Faculty play an important role in assisting the development and administration of system-wide and directorate-specific policies and are viewed as active participants in academic and extracurricular events at the College and within the community. Responsibilities <ul><li>Contribute to curriculum development for Business Analytics, aligning with industry relevance and high standards.</li><li>Engage in assessment and evaluation activities to inform teaching and enhance student learning, problem-solving, and analytical skills.</li><li>Teach within an applied, student-centric learning environment that respects students, their culture, and traditions.</li><li>Assist in the development and administration of system-wide and directorate-specific policies.</li><li>Participate in academic and extracurricular events at the College and within the community.</li></ul>

Faculty - Business (Business Analytics)

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