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research scientist in the division of science (chemistry) - dr. ali trabolsi Jobs in Abu Dhabi

research scientist in the division of science (chemistry) - dr. ali trabolsi

senior consultant

senior scientist

Al Etihad Payments

<div>
 <p>
  <strong>
   Senior Data Scientist
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    |
   </em>
   About the role
  </strong>
 </p>
 <p>
  We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have a strong background in data science, machine learning, and natural language processing (NLP). Proficiency in Arabic is optional but will be considered a significant advantage.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   |What You&rsquo;ll Do
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Development and Deployment:
   </strong>
  </li>
  <li>
   Design, develop, and deploy large-scale language models and RAG systems to solve complex problems.
  </li>
  <li>
   Optimize and fine-tune models to improve performance and accuracy for various applications.
  </li>
  <li>
   <strong>
    Research and Innovation:
   </strong>
  </li>
  <li>
   Conduct research to advance the state-of-the-art in language models and retrieval-augmented generation.
  </li>
  <li>
   Stay updated with the latest advancements in NLP, machine learning, and artificial intelligence.
  </li>
  <li>
   <strong>
    Data Analysis and Processing:
   </strong>
  </li>
  <li>
   Collect, preprocess, and analyze large datasets to support model training and evaluation.
  </li>
  <li>
   Implement robust data pipelines to ensure efficient data flow and processing.
  </li>
  <li>
   <strong>
    Model Evaluation and Improvement:
   </strong>
  </li>
  <li>
   Evaluate model performance using appropriate metrics and methodologies.
  </li>
  <li>
   Identify areas for improvement and implement strategies to enhance model effectiveness.
  </li>
  <li>
   <strong>
    Collaboration and Mentorship:
   </strong>
  </li>
  <li>
   Collaborate with cross-functional teams including engineers, product managers, and researchers.
  </li>
  <li>
   Mentor and guide junior data scientists and machine learning engineers.
  </li>
  <li>
   <strong>
    Documentation and Reporting:
   </strong>
  </li>
  <li>
   Document methodologies, experiments, and results comprehensively.
  </li>
  <li>
   Prepare and present reports and findings to stakeholders and team members.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   |Minimum Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Education:
   </strong>
  </li>
  <li>
   Master&rsquo;s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
  </li>
  <li>
   <strong>
    Experience:
   </strong>
  </li>
  <li>
   Minimum of 2 years of experience in LLM and Gen. AI
  </li>
  <li>
   Minimum of 5 years of experience in data science and machine learning.
  </li>
  <li>
   Proven experience working with large language models (e.g., GPT, BERT) and RAG systems.
  </li>
  <li>
   Experience with natural language processing and understanding tasks.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   |Skills &amp; Competencies
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Technical Skills:
   </strong>
  </li>
  <li>
   Proficiency in programming languages such as Python, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
  </li>
  <li>
   Strong understanding of machine learning algorithms, deep learning, and statistical methods.
  </li>
  <li>
   Experience with data visualization tools and techniques.
  </li>
  <li>
   Familiarity with cloud platforms and services (e.g., AWS, GCP, Azure).
  </li>
  <li>
   <strong>
    Optional Skills:
   </strong>
  </li>
  <li>
   Proficiency in Arabic language (reading, writing, speaking) is a plus.
  </li>
  <li>
   <strong>
    Soft Skills:
   </strong>
  </li>
  <li>
   Excellent problem-solving skills and attention to detail.
  </li>
  <li>
   Strong communication and collaboration abilities.
  </li>
  <li>
   Ability to work independently and in a team-oriented environment.
  </li>
  <li>
   Continuous learning mindset and a passion for innovation.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   |Working Conditions
  </strong>
 </p>
 <ul>
  <li>
   Full-time position; hybrid/remote options as per company policy.
  </li>
 </ul>
 <p>
 </p>
</div>


Senior Data Scientist - Takamul

Inception

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 The opportunity
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Your key responsibilities
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Skills and attributes for success
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 To qualify, you must have
 <br/>
 <br/>
 <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 8 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.
   <br/>
   <br/>
  </li>
 </ul>
 Ideally, you&rsquo;ll also need
 <br/>
 <br/>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 What we look for
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 What working at Inception offers
 <br/>
 <br/>
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 <br/>
 <br/>
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 <br/>
 <br/>
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 <br/>
 <br/>
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 <br/>
 <br/>
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>


Senior Applied Scientist

SoftServe

<div>
 <p>
  <strong>
   WE ARE
  </strong>
 </p>
 <p>
  Transforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, the Internet of Things (IoT), Data Science, and Experience Design. We are one of the largest teams in Eastern Europe that stood at the origins of data science, providing tons of experience and working with the best talents in the field.
 </p>
 <p>
  In the Data Science Center of Excellence, we contribute to a wide range of projects in different areas, domains, and technologies. The GenAI Strategy at SoftServe aims to spearhead the development and implementation of intelligent software systems that integrate GenAI, AI, Data Analytics, MLOps, and Cloud infrastructure.
 </p>
 <p>
  <strong>
   IF YOU ARE
  </strong>
 </p>
 <ul>
  <li>
   A holder of a Ph.D. or master's degree in computer science or a related field
  </li>
  <li>
   Experienced in Generative AI and natural language processing (NLP) techniques such as large-scale transformer models and generative pre-trained LLMs (GPT-4, Claude, Gemini, and beyond)
  </li>
  <li>
   Knowledgeable of the latest developments in diffusion models and other generative frameworks for both text and image generation
  </li>
  <li>
   Competent in Generative AI and language models to spearhead innovative initiatives that leverage cutting-edge techniques in NLP and AI
  </li>
  <li>
   Adept at applying advanced deep learning techniques in practical scenarios
  </li>
  <li>
   Well-versed in the latest advancements and trends in machine learning, deep learning, NLP, and their practical applications
  </li>
  <li>
   Proficient in working with the latest pre-trained language models like GPT-4, BERT, and their subsequent iterations, including fine-tuning for specific tasks
  </li>
  <li>
   Aware of the software development lifecycle of AI projects, machine learning operation processes
  </li>
  <li>
   Experienced with AI solutions deployment to the main cloud providers
  </li>
  <li>
   Hands-on with Python and TensorFlow or PyTorch
  </li>
  <li>
   Possessing strong interpersonal, analytical, and problem-solving skills
  </li>
  <li>
   Easily translating complex concepts in clear, concise, and meaningful ways, that a non-technical audience can easily understand
  </li>
  <li>
   Capable of maintaining business communication in English at the upper-intermediate level
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   AND YOU WANT TO
  </strong>
 </p>
 <ul>
  <li>
   Work with the full stack of data analysis, deep learning, and machine learning model pipeline that includes deep analysis of customer data, modeling, and deployment in production
  </li>
  <li>
   Choose relevant computational tools for study, experiment, or trial research objectives
  </li>
  <li>
   Drive the development of innovative solutions for language generation, text synthesis, and creative content generation using the latest state-of-the-art techniques
  </li>
  <li>
   Develop and implement advanced Generative AI solutions such as intelligent assistants, Retrieval-Augmented Generation (RAG) systems, and other innovative applications
  </li>
  <li>
   Produce clear, concise, well-organized, and error-free computer programs with the appropriate technological stack
  </li>
  <li>
   Present results directly to stakeholders and gather business requirements
  </li>
  <li>
   Develop expertise in state-of-the-art Generative AI techniques and methodologies
  </li>
  <li>
   Grow your skill set within a dynamic and supportive environment
  </li>
  <li>
   Work with Big Data solutions and advanced data tools in cloud platforms
  </li>
  <li>
   Build and operationalize ML models, including data manipulation, experiment design, developing analysis plans, and generating insights
  </li>
  <li>
   Lead teams of data scientists and software engineers to successful project execution
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   TOGETHER WE WILL
  </strong>
 </p>
 <ul>
  <li>
   Maintain a synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments
  </li>
  <li>
   Drive innovation in the realm of Generative AI and Language Models, contributing to groundbreaking projects that redefine AI-powered content generation
  </li>
  <li>
   Communicate with the world-leading companies from our logos portfolio
  </li>
  <li>
   Enjoy the opportunity to work with the latest modern tools and technologies on various projects
  </li>
  <li>
   Participate in international events and get certifications in cutting-edge technologies
  </li>
  <li>
   Have access to powerful educational and mentorship programs
  </li>
  <li>
   Revolutionize the software industry and drive innovation in adaptive self-learning technologies by leveraging multidisciplinary expertise
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law.
  </em>
 </p>
</div>


Senior Data Scientist

National Reference Laboratory

<div></div><div><div><div><div><div><div><div>ID</div>
<div>2025-4667
</div></div><div><div>Category</div>
<div>Digital &amp; Technology
</div></div><div><div>Asset : Name</div>
<div>Environmental Sciences
</div></div><div><div>City</div>
<div>Abu Dhabi
</div></div></div></div></div></div><h2 class="jobSectionHeader"><b>Overview
</b></h2><div><div><div><div>M42&rsquo;s Integrated Health Solutions (IHS) platform drives transformative national programs and population health initiatives, addressing global health challenges through precision, prevention, and predictive care. Flagship initiatives include the Emirati Genome Program (EGP), which maps Emirati genetics to enable personalized and preventive healthcare; the Abu Dhabi BioBank, a regional center accelerating drug discovery and biobanking excellence; and Biogenix Labs, which advances precision medicine through Next-Generation Sequencing (NGS) technologies. Environmental Sciences complements these efforts by analyzing non-human factors affecting public health. IROS (Integrated Research Organization Solutions) supports innovation through high-quality clinical research, reinforcing M42&rsquo;s commitment to a healthier, more sustainable future.</div><div></div><div><br>
The Senior Environmental Data Scientist, will spearhead the design, development, and deployment of AI-driven digital solutions that address pressing challenges in air quality, wastewater surveillance, climate resilience, and biodiversity monitoring. This role bridges scientific operations, advanced data analytics, and digital innovation, ensuring delivery of impactful products that shape public health, sustainability, and policy outcomes.</div>
</div></div></div><h2 class="jobSectionHeader"><b>Responsibilities
</b></h2><div><div><div><div><b>AI &amp; Product Development</b></div><ul><li>
Design, develop, and validate AI/ML models for environmental data analysis, prediction, and decision support.</li><li>
Translate complex scientific and regulatory requirements into scalable AI-driven solutions.</li><li>
Collaborate with experts in microbiology, chemistry, genomics, and environmental sciences to ensure product accuracy and relevance.</li><li>
Deploy explainable and reliable AI tools that integrate multi-source datasets, including laboratory, IoT sensor, and field data.</li><li>
Help grow the Digital EVS portfolio</li></ul><div><b>
Data Strategy &amp; Analytics</b></div><ul><li>
Lead the acquisition, curation, and harmonization of diverse environmental datasets.</li><li>
Build scalable data pipelines and infrastructure for real-time monitoring and predictive modeling.</li><li>
Develop dashboards and visualization platforms to support scientists, policymakers, and other stakeholders.</li><li>
Ensure compliance with international standards in data ethics, governance, and regulatory frameworks.</li></ul><div><b>
Cross-Functional Collaboration &amp; Engagement</b></div><ul><li>
Partner with internal teams (lab scientists, engineers, clinicians, business development) to align AI solutions with organizational goals.</li><li>
Collaborate with regulators, research institutions, and government agencies on joint initiatives and policy-driven projects.</li><li>
Present technical proposals and insights to both technical and non-technical audiences, including executives, clinicians, and policymakers.</li><li>
Represent M42 in global forums, conferences, and collaborations related to AI, public health, and environmental innovation.</li></ul><div><b>
Project Management</b></div><ul><li>
Design/collate Business requirements/documents</li><li>
Define Project Scope and Objectives</li><li>
Plan Data Acquisition and Preparation</li><li>
Coordinate Model Development and Evaluation</li><li>
Manage Stakeholder Communication</li><li>
Ensure Compliance and Deployment Readiness</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>Qualifications
</b></h2><div><div><div><div><b>Minimum Qualifications</b></div><ul><li>
Advanced degree (MSc or PhD) in Data Science, Artificial Intelligence, Environmental Sciences, Computational Biology, or related field.</li><li>
Proven experience in designing and deploying AI solutions within scientific, environmental, or healthcare contexts.</li><li>
Proficiency in programming languages such as Python and or R, with expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>
Strong knowledge of environmental datasets (e.g., wastewater surveillance, air quality monitoring, biodiversity studies).</li><li>
Experience with data visualization platforms (e.g., Power BI, Tableau, Dash) and real-time monitoring tools.</li><li>
Solid understanding of data governance, ethics, and regulatory compliance.</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>
Experience leading cross-disciplinary projects involving environmental sciences, public health, and digital innovation.</li><li>
Demonstrated track record of publishing or presenting applied AI research in peer-reviewed journals or global conferences.</li><li>
Familiarity with UAE regulatory frameworks and international sustainability initiatives.</li><li>
Strong stakeholder management and science communication skills.</li></ul></div></div></div></div><div></div>

Senior Environmental Data Scientist

Etihad

<div>
 <strong>
  Synopsis
  <br/>
  <br/>
 </strong>
 We are looking for a detail-oriented Data Scientist to help unlock the power of data to drive smarter decisions and innovation. As a data scientist, you&rsquo;ll transform complex data into actionable insights, build predictive models and help shape data driven strategies that make a real impact.
 <br/>
 <br/>
 <strong>
  Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deliver actionable insights and predictive models that inform strategic decision making
  </li>
  <li>
   Ensure data science models are robust, explainable, and aligned with business objectives.
  </li>
  <li>
   Maintain data quality and integrity throughout the data lifecycle
  </li>
  <li>
   Collaborate across teams to embed models into production environments
  </li>
  <li>
   Uphold ethical use of data, ensuring compliance with governance, privacy, and regulation
  </li>
  <li>
   Collect clean and pre process large data sets from various structured sources
  </li>
  <li>
   Perform exploratory data analysis (EDA)
  </li>
  <li>
   Develop and validate statistical models
  </li>
  <li>
   Build data visualisation using matplotlib, seaborn, Plotly or BI tools such as Tableau
  </li>
  <li>
   Expericnce with MS Aure cloud platforms and Databricks
  </li>
  <li>
   High proficiency in coding languages of SQL, Python
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education &amp; Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4+ years of experience in a data science or similar role.
  </li>
  <li>
   University degree, technology certifications advantageous .
  </li>
  <li>
   Experience following the Scrum methodology (certification is desirable)
  </li>
  <li>
   Great communication skills
  </li>
  <li>
   Familiar with Machine Learning
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Etihad Airways
  <br/>
  <br/>
 </strong>
 Etihad Airways, the national airline of the UAE, was formed in 2003 and quickly went on to become one of the world&rsquo;s leading airlines. From its home in Abu Dhabi, Etihad flies to passenger and cargo destinations in the Middle East, Africa, Europe, Asia, Australia and North America. Together with Etihad&rsquo;s codeshare partners, Etihad&rsquo;s network offers access to hundreds of international destinations. In recent years, Etihad has received numerous awards for its superior service and products, cargo offering, loyalty programme and more. All this ties into Etihad&rsquo;s ambitious Journey 2030 strategy. The airline plans to double its fleet size and triple the number of customers over the next six years as it sets out to be the airline everyone wants to fly!
 <br/>
 <br/>
 To learn more, visit etihad.com
 <br/>
 <br/>
 <strong>
  Recruitment Fraud Alert
  <br/>
  <br/>
 </strong>
 Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.
</div>


Data Scientist

New York University Abu Dhabi

<div>
 We are inviting applications for a Postdoctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in sociology, social psychology, computational social science, computer science, information science, data science, or a closely related field. The appointment will begin September 1, 2026, subject to final budget approval and is available for up to three years.
 <br/>
 <br/>
 The post-doctoral associate will spend half their time on independent research, and half their time on collaborative research with Professors Mario D. Molina, Minsu Park, and Blaine Robbins. The collaborative research will be large-scale analyses of digital traces (e.g., Yelp, Airbnb, Stack Exchange) and virtual lab experiments to study how ingroup favoritism and group boundaries coevolve in multiplex communities; how attribute- and opinion-based cues shape insider/outsider categorization, intergroup relations, and social cohesion; and how to design interventions that promote inclusivity, fairness, and productive discourse online.
 <br/>
 <br/>
 We seek a candidate with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental design and causal inference (including virtual lab experiments); and/or (4) network or computational modeling. The ideal candidate will have a strong interest in applying these tools to questions of group formation, intergroup relations, and the distribution of resources on online platforms. This is an excellent position for a computational social scientist or a computer/data scientist eager to transition into the social sciences.
 <br/>
 <br/>
 The position does not require teaching, but it may be possible to get teaching experience for compensation. You would join a group of over 20 post-doctoral fellows and 70 faculty in the Division of Social Science.
 <br/>
 <br/>
 For consideration, applicants must submit a cover letter, a curriculum vitae with a complete list of publications, a statement of research interests, two letters of reference, transcript and one writing sample, all in PDF format. If you have any questions, please email the Principal Investigators: Professors Mario D. Molina (mdmolina@nyu.edu), Minsu Park (mp5500@nyu.edu), and Blaine Robbins (bgr3@nyu.edu). Applications will be reviewed on a rolling basis until the position is filled, with a preferred deadline of November 15, 2025
 <br/>
 <br/>
 <strong>
  About NYU Abu Dhabi
  <br/>
  <br/>
 </strong>
 NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU&rsquo;s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.
 <br/>
 <br/>
 EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer
 <br/>
 <br/>
 UAE Nationals are encouraged to apply
 <br/>
 <br/>
 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 <strong>
  For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Sustainability Statement
  <br/>
  <br/>
 </strong>
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
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Post-Doctoral Associate in the Division of Social Science - Drs. Minsu Park, Mario Molina and Blaine Robbins

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

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