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associate research scientist in the water research center – dr. ali trabolsi Jobs in Abu Dhabi

business analyst

data scientist

ai researcher

GenBio AI

<div>
 Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.
 
 
 We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&amp;D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.
 
 
 
 Job Description:
 
 
 
 <ul>
 <li>
 You will work with the team to conduct cutting-edge AI and computational biology research. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
 </li>
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 You will work with the team on designing and executing experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
 </li>
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 Additionally, you will collaborate closely with the AI/ML researchers and computational biologists on the team to develop our state-of-the-art AI for biology foundation models
 
 
 
 
 </li>
 </ul>
 
 Qualification:
 
 
 
 <ul>
 <li>
 M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
 </li>
 <li>
 Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications
 </li>
 <li>
 Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra)
 </li>
 <li>
 Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge
 </li>
 <li>
 Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment)
 </li>
 <li>
 Familiarity with software engineering best practices (version control, documentation, etc)
 
 
 
 
 </li>
 </ul>
 
 Nice to Have:
 
 
 
 <ul>
 <li>
 3 year PhD student and above
 </li>
 <li>
 Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences
 </li>
 <li>
 Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research)
 </li>
 <li>
 Hands-on experience working at the intersection of AI and Biology
 </li>
 <li>
 Experience in large-scale distributed training and inference
 </li>
 <li>
 Open-source contributions, especially if used by others
 
 
 
 
 </li>
 </ul>
 Join us as we embark on this journey to redefine the future of biology and medicine.
 
 
 We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security&rsquo;s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Research Scientist Intern

Presight

<div>
 
 
 
 About Presight
 
 
 
 
 
 
 
 Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region&rsquo;s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.
 
 
 
 
 
 
 
 Position Overview
 
 
 
 
 
 
 
 We are looking for a highly skilled Applied Scientist to join our company. In this role, you will design, create, and implement various Machine Learning and Computer Vision models for Smart Cities and IoT platforms. As a part of Data Science R&amp;D team, you will work closely with an agile team as a champion of users to ensure AI use cases are implemented right. You will work closely with product manager to understand user requirements and translate them into a Machine learning models for developers and Engineers.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 &middot; Research, design, develop, implement, and optimize algorithms and software solutions to solve complex computer vision problems
 
 
 &middot; Create code that is elegant and maintainable
 
 
 &middot; Take accountability for solutions that are modular and testable. Have pride for building unit and regression testing to prove that your code and solutions truly work.
 
 
 &middot; Work closely with software engineering and product development teams on tech selections and solutions.
 
 
 &middot; When necessary, debug, optimize and aspire to make things pixel perfect. Be willing to spend time in making things truly amazing, not just great.
 
 
 &middot; Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management, and Governance of Organizations policies, procedures, plans, and related risk assessments.
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 o Bachelor degree in Computer Science, Applied Mathematics, or other Engineering disciplines in related fields or equivalent work experience.
 
 
 Experience:
 
 
 o 5+ years of professional R&amp;D experience in Computer Vision, Digital Image Processing, and/or Machine Learning
 
 
 Skills:
 
 
 o Experience in training and evaluating models using TensorFlow and Pytorch
 
 
 o Experience with training large-scale systems on large data sets
 
 
 o Fluent in C/C++ and Python with over 4 years of experience
 
 
 o Track record of shipping working code and solutions based on your contributions
 
 
 o Team player, ability to perform in cross functional teams and to share knowledge to others
 
 
 o Good communication skills in English
 
</div>

Applied Scientist

<div>
 
 Overview
 
 
 
 About Presight
 
 
 Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region&rsquo;s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.
 
 
 Position Overview
 
 
 We are looking for a highly skilled Applied Scientist to join our company. In this role, you will design, create, and implement various Machine Learning and Computer Vision models for Smart Cities and IoT platforms. As a part of Data Science R&amp;D team, you will work closely with an agile team as a champion of users to ensure AI use cases are implemented right. You will work closely with product manager to understand user requirements and translate them into a Machine learning models for developers and Engineers.
 
 
 
 Responsibilities
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Research, design, develop, implement, and optimize algorithms and software solutions to solve complex computer vision problems
 </li>
 <li>
 Create code that is elegant and maintainable
 </li>
 <li>
 Take accountability for solutions that are modular and testable. Have pride for building unit and regression testing to prove that your code and solutions truly work.
 </li>
 <li>
 Work closely with software engineering and product development teams on tech selections and solutions.
 </li>
 <li>
 When necessary, debug, optimize and aspire to make things pixel perfect. Be willing to spend time in making things truly amazing, not just great.
 </li>
 <li>
 Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management, and Governance of Organizations policies, procedures, plans, and related risk assessments.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor degree in Computer Science, Applied Mathematics, or other Engineering disciplines in related fields or equivalent work experience.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 5+ years of professional R&amp;D experience in Computer Vision, Digital Image Processing, and/or Machine Learning
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Experience in training and evaluating models using TensorFlow and Pytorch
 </li>
 <li>
 Experience with training large-scale systems on large data sets
 </li>
 <li>
 Fluent in C/C++ and Python with over 4 years of experience
 </li>
 <li>
 Track record of shipping working code and solutions based on your contributions
 </li>
 <li>
 Team player, ability to perform in cross functional teams and to share knowledge to others
 </li>
 <li>
 Good communication skills in English
 </li>
 </ul>
</div>

Charterhouse Middle East

<div>
 
 
 Market Leading Salary, Plus Family Benefits/Perks, Plus Bonus
 
 
 
 
 
 
 Charterhouse is partnered with a global family office seeking to strengthen its Investment Technology Division. This division is responsible for developing analytical platforms, data-driven tools, and technology-enabled capabilities that support investment teams, operational functions, and enterprise wide strategic decision making. With a remit that spans across Data Science, Engineering, Quantitative Research, and Product Development, the division plays a pivotal role in evolving the organisation&rsquo;s digital and analytical landscape. This current opening is for a Senior AI Scientist who will be a key contributor to the organisation&rsquo;s data and product initiatives.
 
 
 
 
 
 The Senior AI Scientist will help lead data driven initiatives, guiding the design and execution of data workflows that meet strategic business objectives. The role focuses on providing technical leadership across data analysis, developing resilient pipelines for model training, tracking model performance, and managing data platforms. The role will have strong expertise in leveraging LLMs and applying prompt engineering techniques to elevate insights and improve model outcomes.
 
 
 
 
 
 
 Our client is looking for ideal candidate with the following qualifications:
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Data Science, Computer Science, Statistics, or a closely related discipline.
 </li>
 <li>
 Experience working with LLM technologies, including pre-training, supervised fine-tuning (SFT), reinforcement learning (RL), and agent-based frameworks.
 </li>
 <li>
 Solid understanding of natural language processing (NLP) methods and algorithms.
 </li>
 <li>
 Industry experience in sectors such as healthcare, finance, or e‑commerce is an advantage.
 </li>
 <li>
 Contributions to open‑source projects, academic research, or relevant publications that showcase technical expertise and thought leadership are highly regarded.
 </li>
 <li>
 Hands‑on experience fine‑tuning and deploying LLMs, with an emphasis on optimizing models for specific applications.
 </li>
 <li>
 Proficiency with AI development frameworks such as PyTorch, DeepSpeed, and Hugging Face Transformers.
 </li>
 <li>
 Strong capabilities in prompt engineering and enhancing LLM performance through algorithmic improvements.
 </li>
 <li>
 Proven problem‑solving skills, particularly in applying LLMs to real‑world use cases.
 </li>
 <li>
 Ability to excel in a collaborative, fast‑moving environment and deliver meaningful AI-driven outcomes.
 </li>
 <li>
 Excellent English communication skills are essential.
 </li>
 </ul>
 
 
 
 
 
 *Please note this role offers relocation assistance for talented candidates based outside the region*
 
 
</div>

Senior AI Scientist

New York University Abu Dhabi

<div>
 The Deep Learning laboratory in the Division of Science, New York University Abu Dhabi, seeks to recruit a research assistant to work on Deep Reinforcement Learning (DRL). The successful applicants will lead the labs efforts in action-less design, continual learning, planning with world models, and contrastive RL. Our laboratory has expertise in deep learning, including deep reinforcement learning, large language models, and the theory of deep learning. The candidate will develop DRL algorithms for online and off-line tasks, for robotic applications and possibly for LLM reasoning applications in the future. The work will involve designing algorithms, running experiments on the HPC, analyzing the results and improving the algorithms. It will also involve extensive literature reviews.
 
 
 Applicants must have an undergraduate degree in computer science, have significant experience with deep learning with PyTorch, and have expertise in reinforcement learning. The applicant should have already completed several major projects in DRL. The applicant should also possess excellent mathematical and English skills. 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. If you have any questions, please contact Dr. Keith Ross: keithwross@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.
 
 
 Students are drawn from among the world&rsquo;s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.
 
 
 
 Working for NYUAD
 
 
 
 At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents.
 
 
 NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.
 
 
 Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
 
 
 
 Join NYU Abu Dhabi, an exceptional place for exceptional people.
 
 
 
 NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University&rsquo;s mission.
 
 
 @WorkAtNYUAD
 
 
 
 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>

Junior Research Scientist in the Division of Science (Computer Science) - Dr. Keith Ross

Cyber Core for Information Technology

Job Description: AI Developer (React, Python &amp; Generative AI)Job Overview:<ul><li>We are seeking a highly analytical and technically proficient AI developer with extensive expertise in React.js, Python, and generative AI technologies.</li><li>The ideal candidate should demonstrate exceptional coding skills, strong logical reasoning, and the ability to design scalable, production-ready AI systems.</li><li>This role demands hands-on development experience, robust analytical thinking, and the ability to translate complex business requirements into efficient AI-driven solutions.</li></ul>Responsibilities &amp; Core Technical Abilities:<ul><li>Design, develop, and maintain end-to-end AI systems, encompassing model training, evaluation, deployment, monitoring, and continuous improvement.</li><li>Build production-grade applications using modern programming languages and tools, including TypeScript, JavaScript, Python, Node.js, Vite, React, and contemporary front-end build systems.</li><li>Develop scalable backend APIs and microservices capable of handling high-volume AI inference workloads using python and any other high level programming languages .</li><li>Architect and maintain Kubernetes clusters, ensuring resilient deployments, autoscaling, health checks, secrets management, and resource optimization.</li><li>Create and manage Helm charts for packaging, versioning, deploying, and continuously updating complex AI services across multiple environments.</li><li>Implement full MLOps pipelines, including data ingestion, feature engineering, model training, model validation, CI/CD workflows, and automated model deployment.</li><li>Integrate vector databases, embeddings pipelines, RAG architectures, and other retrieval-augmented systems to enhance AI reasoning capabilities.</li><li>Manage storage systems (object storage, block storage, distributed file systems) optimized for AI workloads, large model artifacts, and high-speed data access.</li><li>Build robust AI plugins, extensions, and integrations for third-party platforms with advanced functionality, including context handling, multi-agent coordination, and tool-use orchestration.</li><li>Optimize LLM performance using techniques like quantization, fine-tuning, LORA adapters, distillation, caching, and model parallelism.</li><li>Ensure system security, data privacy, identity management, and safe model behavior across all AI components.</li><li>Collaborate cross-functionally with product, data, and engineering teams to translate business requirements into scalable AI solutions.</li><li>Monitor production AI systems, implement logging/observability stacks, and troubleshoot reliability or performance issues.</li><li>Continuously research and adopt emerging AI/ML trends, frameworks, and MLOps best practices to maintain systems at industry-leading standards.</li></ul>Qualification and SkillsCore Technical Skills<ul><li>Strong proficiency in Python with a deep understanding of data structures and algorithms.</li><li>Hands-on experience in React.js, including hooks, state management, component architecture, and advanced knowledge of generative AI and LLM concepts.</li><li>Experience with OpenAI APIs or open-source LLMs, Langchain/llamaindex/agentic workflows, prompt engineering, Rag architecture, vector databases (FAISS, Pinecone, etc.), and strong understanding of REST API design and backend architecture.</li><li>Experience with relational or NoSQL databases and version control using Git.</li><li>Analytical &amp; Coding Strength (Mandatory)</li><li>Strong analytical thinking and structured problem-solving ability.</li><li>Ability to write optimized, scalable, and efficient code.</li><li>Strong debugging and root cause analysis skills.</li><li>Ability to analyze large code bases and improve performance.</li><li>Experience implementing algorithmic logic and performance tuning.</li><li>Practice of clean code and adherence to coding standards.</li></ul>Experience<ul><li>3+ years of hands-on experience delivering AI-driven applications.</li><li>Proven track record of writing production-grade code.</li></ul>Soft Skills<ul><li>Strong logical reasoning and critical thinking.</li><li>Excellent communication skills.</li><li>Ability to work independently and take ownership.</li><li>High attention to details and quality.</li></ul>Nice to Have<ul><li>Experience building AI workflows and autonomous bots.</li><li>Knowledge of model fine-tuning basics.</li><li>Experience with Docker and Kubernetes.</li><li>Understanding of AI evaluation metrics and benchmarking.</li></ul>Job Type: Full-timeWork Location: In person

AI Developer- (Resident Engineer – Onsite Client)

Acenet

Role OverviewAceNet is seeking a Senior Azure AI Infrastructure Architect to lead the design, governance, security, and operationalization of AI infrastructure on Microsoft Azure.Operating within a centralized Cloud Center of Excellence (CoE), this role will act as the enterprise platform authority for Azure AI services. The architect will partner closely with application teams, data scientists, security, networking, and operations teams to provision, secure, optimize, and transition AI solutions into production at scale.This is a senior-level role requiring deep Azure expertise, strong governance orientation, and the ability to enable AI innovation within a controlled, secure enterprise framework.Key Responsibilities <ul><li>Design and maintain enterprise-grade Azure AI resources.</li><li>Architect infrastructure for Azure OpenAI, Azure Machine Learning, Azure AI Services, GPU-based compute environments, and AKS for AI workloads.</li><li>Define subscription strategy, resource group structure, tagging standards, and naming conventions aligned with CoE governance.</li><li>Design secure networking architectures including VNET segmentation, Private Endpoints, Firewall, and NSGs.</li><li>Continuously monitor and improve security posture using Microsoft Defender for Cloud and related tools.</li><li>Implement least-privilege RBAC models and ensure secure identity integration.</li><li>Enforce governance controls using Azure Policy and Management Groups.</li><li>Review AI solution architectures and participate in architecture review boards.</li><li>Monitor and optimize AI workload costs using Azure Cost Management and FinOps practices.</li><li>Implement Infrastructure as Code using Terraform (preferred), Bicep, or ARM templates.</li><li>Support CI/CD pipelines and controlled change and release management processes.</li><li>Develop operational runbooks and ensure smooth transition of AI services to operations teams.</li><li>Act as the primary AI infrastructure advisor within the Cloud CoE and guide stakeholders on best practices.</li></ul>Required Skills &amp; Experience <ul><li>Deep hands-on expertise in Microsoft Azure and Azure AI services.</li><li>Strong experience designing AI landing zones and enterprise cloud architectures.</li><li>Advanced knowledge of Azure networking (VNETs, Private Link, Hybrid connectivity).</li><li>Strong expertise in Azure RBAC, Entra ID, Managed Identities, Azure Policy, and Key Vault.</li><li>Experience with Microsoft Defender for Cloud and enterprise security monitoring.</li><li>Hands-on experience with Infrastructure as Code and CI/CD pipelines.</li><li>Strong FinOps mindset and experience managing Azure cost optimization.</li><li>10+ years in IT infrastructure/cloud architecture.</li><li>5+ years of hands-on Azure architecture experience.</li><li>Experience operating within a centralized Cloud CoE model.</li></ul>Job Type: Full-time

Senior Azure AI Infrastructure Architect

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Research Scientist Intern

Applied Scientist

Applied Scientist

Senior AI Scientist

Junior Research Scientist in the Division of Science (Computer Science) - Dr. Keith Ross

AI Developer- (Resident Engineer – Onsite Client)

Senior Azure AI Infrastructure Architect