What Jobs are available for AI Researcher in the United Arab Emirates?

Overview

Design, develop, and deploy AI/ML models to solve business problems. Collaborate with cross-functional teams to identify opportunities for AI integration , translate client requirements into scalable AI-powered solutions , and provide consulting expertise on AI strategies, tools, and implementation. Stay up to date with the latest AI/ML frameworks, tools, and industry trends , ensuring solutions are robust, scalable, and aligned with business goals.

• Design, develop, and deploy AI/ML models to solve business problems.
• Collaborate with cross-functional teams to identify opportunities for AI integration .
• Translate client requirements into scalable AI-powered solutions .
• Provide consulting expertise on AI strategies, tools, and implementation.
• Stay up to date with the latest AI/ML frameworks, tools, and industry trends .
• Ensure solutions are robust, scalable, and aligned with business goals.

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field .
• Strong programming skills in Python, R, or similar languages .
• Experience with TensorFlow, PyTorch, Keras, or other AI frameworks .
• Knowledge of cloud platforms (AWS, Azure, GCP) for AI/ML solutions.
• Excellent problem-solving and consulting skills .
• Strong communication and ability to present AI solutions to non-technical stakeholders.

• Opportunity to work on cutting-edge AI projects .
• Collaborative and innovative work environment .
• Career growth and continuous learning opportunities .
• Be part of an international, forward-thinking team .

Overview

New York University in Abu Dhabi, through its NYU Abu Dhabi Institute, seeks to be a world-class center of cutting-edge research, scholarship, and cultural activity. The institute offers outstanding facilities; research funding at a significant level and with exceptional continuity of support; and a vigorous, cohesive, and interactive intellectual environment. Further details about the institute are found at nyuad.nyu.edu/institute/. The research group at the Centre for Sea Level Change (CSLC) works in various areas of sea-level change science ranging from meteorological, oceanographic, and glaciological observations, both in situ and remote sensing, as well as component and coupled models of the atmosphere, ocean, and glacier system. For details, see nyuad.nyu.edu/en/research/nyuad-institute/institute-research/cslc.html.

The CSLC is looking to hire a researcher with expertise in glacier and ice shelf modelling. The scientist will work with others in a team to characterize Antarctic glaciers and assess their instability. The incumbent will perform research on the dynamics of Antarctic glaciers and the effect of ocean and atmosphere on their motion and instability. The work involves, in addition to modelling, the development of diagnostics using satellite and ground-based observational datasets and the possibility to join field campaigns in Arctic and Antarctic.

• Conducting and analyzing experiments on glacier dynamic processes using a glacier model, satellite observations and ground-based observations to assess their instability.
• Developing diagnostics of the physical processes involved in the interactions between glaciers, ice shelves, ocean, sea ice and atmosphere, based on observational and numerical datasets.
• Conduct scientific studies, publish results in peer-reviewed journals and communicate about them in international conferences.

• Good interpersonal and communication skills
• Excellent analytical and problem-solving skills with a proactive approach
• Dedication and enthusiasm to work in a team
• Ability to work efficiently and complete diverse tasks in a timely manner

Education

A PhD degree in oceanography, glaciology or a related discipline.

Experience

Experience with numerical models.

Experience in analyzing large geophysical datasets.

Experience with high-performance computing environments and scientific codes.

Familiarity with glacial modeling software (e.g., ELMER ICE) is an advantage.

Knowledge and skills

Very good programming and scripting skills are expected.

Good understanding of physical processes involved in the interaction between the atmosphere, sea ice, the ocean and land ice is essential.

Language

Candidates must be able to work effectively in English and interviews will be conducted in English.

To be considered, candidates should submit Curriculum Vitae (including the list of their peer-reviewed publications) and the names of three professional references, all in PDF format by email to Dr. Diana FRANCIS ( ) with Prof. David Holland ( ) and Denise Holland ( ) in copy.

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Job Purpose:

To design, build, and integrate AI modules into IoT/IIoT and digital platforms by managing the full machine learning lifecycle — from model training to deployment — ensuring scalable and business-aligned solutions.

• AI Module Development & Integration – Design and build AI modules that integrate seamlessly into IoT/IIoT and digital platforms.
• Machine Learning Model Lifecycle – Develop, train, validate, and maintain ML models for predictive maintenance, anomaly detection, optimization, and risk scoring.
• System & Platform Integration – Work with APIs, data pipelines, and dashboards to integrate AI solutions into enterprise and industrial systems.
• Model Training – Prepare data, select algorithms, and train models with high accuracy and scalability.
• Production Deployment – Deploy, monitor, and optimize ML models in production environments (cloud and edge).
• Collaborate with cross-functional product and engineering teams to ensure AI solutions meet business requirements.

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.
• Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
• Proven hands-on experience in ML model training and production deployment .
• Solid understanding of IoT/IIoT platforms (AWS IoT, Azure IoT, or custom).
• Experience in data engineering & API integration .
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

• End-to-end ownership of ML model lifecycle.
• Strong analytical and problem-solving skills.
• Ability to bridge technical solutions with business impact.

We are looking for a passionate AI/ML Intern to help us design, develop, and deploy AI-powered solutions and products. This role involves building both AI/ML models and the applications or platforms where these models will be utilized. The ideal candidate should have strong programming skills, a solid understanding of machine learning and AI concepts, and the ability to develop end-to-end solutions, including applications leveraging LLMs (Large Language Models) and agentic systems.

• Build, train, and optimize machine learning models for various use cases.
• Research and integrate Large Language Models (LLMs) and agent-based AI systems.

• Develop scalable applications or platforms to host AI/ML models.
• Implement APIs or integrations to enable seamless interaction with AI systems.

• Collaborate with cross-functional teams to define product requirements and workflows.
• Ensure high-quality delivery by testing and debugging applications and models.

• Identify technical challenges and propose innovative solutions.
• Optimize performance and scalability of AI models and applications.

• Stay updated on advancements in AI/ML, especially in agentic systems and LLMs.
• Experiment with state-of-the-art frameworks and libraries.

• Proficiency in Python and at least one other programming language (e.g., C , Java , etc.).
• Strong experience in data structures, algorithms, and writing clean, efficient, and maintainable code.

• Hands-on experience in building and deploying web or desktop applications.
• Familiarity with frontend and backend technologies, frameworks, and deployment pipelines.

• Knowledge of core machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and model evaluation techniques.
• Experience working with real-world datasets and developing models to solve practical problems.

• Familiarity with LLM frameworks (e.g., OpenAI, LangChain) and experience building AI agents or similar systems.
• Understanding concepts like reinforcement learning, multi-agent systems, or autonomous agents is a plus.

• Strong analytical and critical thinking abilities to solve complex problems efficiently.
• Ability to work independently or in a team to deliver innovative solutions under deadlines.

• Hands-on experience in designing and deploying AI-powered products from scratch.
• Exposure to cutting-edge AI technologies and frameworks.
• Mentorship from industry experts and an opportunity to work on impactful projects.

Duration: 3-6 Months
Location: Onsite
Compensation: Unpaid

NYUAD Water Research Center at New York University Abu Dhabi, seeks to recruit a research scientist to work on the development of membrane desalination to treat water from the Arabian Gulf feed sources and on the design and scale-up of low energy membranes for water purification, under the supervision of Professor Nidal Hilal, Director of the Water Research Center and Global Professor of Engineering. The successful applicant will drive an exciting project on developing functional membrane materials, including nanostructured polymer membranes tailored to microfiltration, ultrafiltration, membrane distillation, nanofiltration and reverse osmosis. The candidate will employ advanced membrane fabrication techniques and characterization tools (SEM, TEM, DSC, TGA, BET, etc.) to establish fabrication-structure-property-performance relationships in novel materials for sustainable desalination and water treatment. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists and engineers, graduate students and undergraduate students. The successful applicant will manage projects and work closely with postdoctoral researchers, build deep technical knowledge and develop transferable solutions. He/she will participate in developing novel concepts and writing proposals. He/she will work towards solving complex problems with efficiency and creativity. He/she will be involved in writing reports, authoring publications, drafting patents and presenting results at conferences. The successful candidate will have a demonstrated knowledge of materials science and engineering, membrane fabrication techniques, membrane characterization tools and separation processes. He/she will be detail-oriented, well-organized and will possess excellent verbal and written communication skills. The successful candidate should be able to work independently and as part of a team. Applicants must hold a PhD in Materials Science and Engineering, Polymer Chemistry, Chemical Engineering, or a related field, and have a minimum of five years? experience as a Postdoctoral Research Associate . Excellent experimental and analytical skills relevant to the project (in particular membrane fabrication and characterization) are required. Candidates with demonstrated history of peer reviewed publications in a related area, along with prior expertise in materials science and analytical chemistry will be preferred. This position will begin in March 2026 as a two-year contract, renewable depending on performance. 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, a one-page summary of research accomplishments and interests, and at least 2 references, all in PDF format. Please visit our website at for instructions and information on how to apply. If you have any questions, please email: . About NYUAD:
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?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.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply.

For people in the EU, click here for information on your privacy rights under 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 atnyu.edu/sustainability

Messilat is seeking a talented MLOps Engineer for our client's team. The perfect candidate will excel in deploying models, managing microservices, utilizing Docker, and maintaining Kubernetes. Our client is also exploring AI applications in customer service, cybersecurity, and compliance.

Key Responsibilities

• Transition models from development to production, ensuring scalability and high performance. Collaborate with development teams for seamless model deployment.
• Implement monitoring and maintenance strategies for deployed models to ensure ongoing accuracy and reliability.
• Maintain Kubernetes clusters to ensure high availability and performance.
• Work with cross-functional teams to understand business requirements and deliver effective machine learning solutions.
• Develop and implement strategies that optimize efficiency and data quality.

Qualifications

• Minimum of 3 years of experience in MLOps or a related field.
• Expertise in model deployment, containerization, and orchestration (e.g., Docker, Kubernetes).
• Familiarity with cloud platforms (e.g., AWS, or on-premises) for model deployment and management.
• Experience in deploying AI models and managing their lifecycle.
• Proficiency in Python for scripting and automation.
• Prior experience in addressing scalability and pricing concerns in ML operations.

Skills

• Model deployment, monitoring, Docker, Kubernetes, AWS Cloud services, on-premises deployment, collaboration.

If you are passionate about MLOps and looking for a challenging role where you can make a significant impact, we would love to hear from you. Apply today!

EchoTwin AI is the intelligence layer powering self-healing cities—urban systems that not only detect issues in real time, but also trigger automated corrective actions or surface prioritized insights through agentic workflows. This represents a fundamental shift from reactive governance to proactive, adaptive urban management. The result? Cleaner, safer, smarter cities that manage themselves.

Our platform combines artificial intelligence, digital twins, and spatial analytics to help municipalities and infrastructure operators monitor assets, enforce compliance, and optimize urban operations. By integrating edge-based visual intelligence with real-time data and geospatial reasoning, EchoTwin AI delivers continuous oversight and faster, more intelligent responses to complex urban challenges.

With deployments across North America and the Middle East—including flagship projects in New York City, Abu Dhabi, and Riyadh—we partner with forward-thinking governments and innovators to build resilient, adaptive infrastructure for the cities of tomorrow.

• Collaborate with cross-functional teams, including the product manager, software developers, and domain experts.

• Research and experiment with state-of-the-art tools and techniques in Machine Learning.

• Document processes, pipelines, and model performance thoroughly.

• Train and deploy machine learning models for object detection and classification in images and videos.

• Preprocess and annotate image and video datasets for training purposes.

• ·Optimize deep learning models for efficiency and scalability in production.

• ·Design and implement predictive models to analyze trends, patterns, and anomalies.

• Develop data pipelines with data engineers to handle large-scale structured and unstructured datasets.

• Apply statistical and machine learning techniques to forecast outcomes and support decision-making.

• Master’s or Bachelor's degree in Computer Science, Mathematics, IT, or a related field.

• 5+ years of experience as a Computer Vision Engineer.

• 10+ years in software development and machine learning.

• Strong knowledge of machine learning concepts and algorithms.

• Proficiency in Python, C++, and ML libraries like TensorFlow or PyTorch.

• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

• Experience in computer vision, particularly object detection and image processing techniques (e.g., YOLO).

• Familiarity with predictive analytics tools.

• Knowledge of cloud platforms (AWS) for deploying and managing machine learning models.

• Experience with MLOps practices.

• Proficiency in spoken and written English.

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more!

• Options for medical, dental, and vision coverage for employees and dependents (for US employees)

• Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)

• 401(k) with 3% company matching

• Unlimited PTO

• Profit sharing

Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.

Bayut & dubizzle - The Arab World's only Homegrown Unicorn Business is now inviting applications for internships of 6 months duration in our Business Intelligence department.

World-class mentors, fast paced & high performing work environment, our open culture and the opportunity to make an impact are just a few of the reasons why our internship program is highly sought after.

As a Machine Learning Intern, you will be participating in exciting projects covering the end-to-end Data Science lifecycle – from raw data cleaning and exploration with primary and third-party systems, through advanced state-of-the-art data visualization and Machine learning development.

You will work in a modern cloud-based data warehousing environment hosting Machine Learning models alongside alongside a team of diverse, intense and interesting co-workers. You will liaise with other departments – such as product & tech, the core business verticals, trust & safety, finance and others – to enable them to be successful.

In this role, you will:

• Query large datasets with SQL and feed ML models.
• Perform data exploration to find patterns in the data and understand the state and quality of the data available.
• Utilize Python code for analyzing data and building statistical models to solve specific business problems.
• Evaluate ML models and fine tune model parameters considering the business problem behind.
• Collaborate with senior peers to Deploy ML models in production.
• Build customer-facing reporting tools to provide insights and metrics which track system performance.
• Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data
• Participate in the off-hours on call stability rotation to support live ML models

• Bachelor’s degree in AI, Statistics, Math, Operations Research, Engineering, Computer Science, or a related quantitative field.
• Statistical modelling and math
• Basic knowledge of Machine learning algorithms.
• Basic knowledge of SQL.
• Basic knowledge of visualization tools such as Periscope
• Excellent verbal and written communication.
• Strong problem solving skills.

• Ability to contribute to a platform used by more than 5M users in UAE and other platforms in the region.
• Strengthen your resume and build your network.
• Opportunity to find a full time career with the region's leading organization.
• Working in a multicultural environment with over 50 different nationalities
• Access to the Learning & Development tools and courses provided by the company.

Bayut & dubizzle is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

#dubizzle

Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region’s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.

Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.

Location : Dubai, UAE
Department : Applied AI & Data Science Team
Reports To : Head of AI & Data Science

We are looking for a highly experienced Machine Learning/Data Scientist with foundational skills in Machine Learning Engineering, and Generative AI to join our innovative AI & Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, scalable data solutions, and integrating AI systems into enterprise platforms. A strong research mindset is essential to excel in this role.

This position plays a critical role in shaping the future of AI-driven decision-making at Property Finder, driving data strategy, and delivering impactful AI solutions.

• Design and implement advanced predictive and optimization models , leveraging classical ML/Statistical model, deep learning models, and modern AI techniques.
• Drive applied innovation in Large Language Models (LLMs) , Generative AI , and Agentic AI systems, exploring and developing novel applications to enhance and automate user experience, improve lead qualification, personalized recommendations, content creation, or automation and automate workflows.
• Build end-to-end model development, including experimentation, rigorous evaluation, and deployment into production environments.
• Build and maintain robust evaluation pipelines, A/B testing frameworks, and model monitoring systems to ensure performance, reliability, and fairness.
• Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale.
• Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models.
• Integrate trust and explainability into model design, generate confidence scores, ensure fairness, and maintain auditability.
• Continuously optimize model performance for scalability, efficiency, and real-world reliability.
• Implement MLOps and deployment best practices (CI/CD, automated workflows, model registry, versioning, and lifecycle management).
• Partner with the Data Platform and Engineering team to optimize model deployment and operational workflows.
• Work closely with the Strategy, BA, Commercial, and Product teams to align on project objectives and ensure smooth deployment of solutions.

• Education : Bachelor or above in Computer Science, Data Science, Machine Learning, or a related field.
• Experience : At least 4+ years in Data Science or MLE roles and foundational MLOps practices.
• Technical Skills :
• Working knowledge of advanced predictive modeling, optimization, scenario analysis, and statistical methodologies.
• Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning.
• Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning.
• Experience with API development and connecting AI systems to external platforms.
• Working knowledge in deep learning techniques, including CNNs, RNNs, and transformers.
• Hands-on experience in applied GenAI/LLMs/Agentic AI augmented with knowledge of transformer-based architectures, prompt engineering, fine-tuning, and retrieval-augmented systems.
• Experience in leveraging cloud platforms (AWS, GCP, Azure) for scalable AI solutions.
• Foundational understanding of ML pipelines and Hands-on experience in deployment processes, version control systems (e.g., Git), CI/CD workflows, and containerization tools like Docker.
• Good working knowledge of cloud platforms like AWS, GCP, or Azure.
• Soft Skills :
• Effective communication and collaboration skills, particularly in cross-functional environments.
• Strategic mindset with the ability to translate business goals into data-driven initiatives.

• Contribute to cutting-edge AI and ML projects in a dynamic and fast-paced environment.
• Collaborate with top talent across diverse teams and disciplines.
• Be part of an innovative culture that values advanced research, strategic thinking, and impactful execution.

Our promise to talent

At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.

Property Finder Guiding Principles

• Think Future First
• Data Beats Opinions, Speed Beats Perfection
• Our People, Our Power
• The Biggest Risk is Taking no Risk at All