593 AI Research Scientist jobs in the United Arab Emirates

Advanced Multimodal AI Developer

We're driving innovation in the global financial sector, where cutting-edge solutions empower businesses to integrate reserve-backed tokens across blockchains.

Our product suite features the world's most trusted stablecoin, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

We have various initiatives that push the boundaries of what is possible: Tether Finance, Power, Data, Education, and Evolution. These endeavors craft a future where innovation and human capabilities merge in powerful, unprecedented ways.

As a member of our AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems.

You will pioneer multimodal and video-centric research, contributing directly to usable prototypes and scalable systems.

Responsibilities include designing and implementing novel AI architectures for multimodal language models, integrating text, visual, and audio modalities.

• Pioneer multimodal and video-centric research, contributing directly to usable prototypes and scalable systems.
• Design and implement novel AI architectures for multimodal language models, integrating text, visual, and audio modalities.
• Engineer scalable training and inference pipelines optimized for large-scale multimodal datasets and distributed GPU systems.

Requirements include expertise in Python & PyTorch, including practical experience working with the full development pipeline from data processing & loading to training, inference, and optimization.

We are seeking an experienced researcher to join our team and contribute to the development of innovative AI solutions.

As an AI researcher, you will work closely with our team of experts to design and implement cutting-edge AI models and systems. Your primary responsibility will be to develop and deploy AI-powered solutions that meet the needs of our customers.

To succeed in this role, you should have a strong background in machine learning and AI research, as well as excellent programming skills. You should also be able to communicate complex technical concepts effectively and collaborate with cross-functional teams.

Key Responsibilities:

Unlock the Power of AI Research

We're pioneering a global revolution in artificial intelligence by harnessing the power of cutting-edge solutions. Our mission is to empower businesses and individuals to seamlessly integrate advanced technologies across industries.

By leveraging the potential of blockchain technology, we enable you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost.

Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Us

Our innovative product suite features state-of-the-art AI models, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that's just the beginning:

Pioneering Growth: Driving sustainable growth, our energy solutions optimize excess power for AI applications using eco-friendly practices in state-of-the-art, geo-diverse facilities.

AI Breakthroughs: Fueling breakthroughs in machine learning and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

About the Job: As a member of the AI research team, you will drive innovation in architecture development for cutting-edge AI models of various scales, including small, large, and multi-modal systems.

Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: data curation, strengthening baselines, identifying and resolving existing pre-training bottlenecks to push the limits of AI performance.

Key Responsibilities:

• Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs.
• Design, prototype, and scale innovative architectures to enhance model intelligence.
• Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance.
• Investigate, debug, and improve both model efficiency and computational performance.
• Contribute to the advancement of training systems to ensure seamless scalability and efficiency on target platforms.
• A degree in Computer Science or related field.
• Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs.
• Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
• Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
• Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.

At Tether, we are revolutionizing the global financial landscape. As a pioneering company in digital finance, we empower businesses to integrate reserve-backed tokens across blockchains using cutting-edge solutions.

We have an innovative suite featuring the world's most trusted stablecoin USDT, relied upon by hundreds of millions worldwide.

Our initiatives include Tether Finance, Tether Power, Tether Data, Tether Education, and Tether Evolution.

We operate remotely from every corner of the world as a global talent powerhouse. If you're passionate about fintech, collaborate with us to push boundaries and set new standards.

As a member of the AI model team, drive innovation in architecture development for cutting-edge models, including small, large, and multi-modal systems.

You'll pioneer multimodal and video-centric research, contributing directly to usable prototypes and scalable systems.

• Design and implement novel AI architectures for multimodal language models, integrating text, visual, and audio modalities.
• Engineer scalable training and inference pipelines optimized for large-scale multimodal datasets and distributed GPU systems across thousands of GPUs.
• Optimize systems and algorithms for efficient data processing, model execution, and pipeline throughput.
• Build modular tools for preprocessing, analyzing, and managing multimodal data assets.

Cross-functionally collaborate with research and engineering teams to translate cutting-edge model innovations into production-grade solutions.

Prototype generative AI applications showcasing new capabilities of multimodal foundation models in real-world products.

Develop benchmarking tools to evaluate model performance across diverse multimodal tasks.

Requirements include a bachelor's degree in Computer Science or equivalent practical experience.

Expertise in Python & Pytorch is required, along with hands-on experience working with large-scale text data.

Nice to have skills include PhD in Computer Vision, Machine Learning, NLP, or related fields.

Key Benefits: Collaborate with a global talent powerhouse, work on cutting-edge projects, contribute to industry-leading innovations, gain expertise in AI and machine learning, and be part of a remote workforce.

What We Offer: Flexible work arrangements, opportunities for professional growth, collaborative work environment, competitive compensation, and a chance to shape the future of digital finance.

We are seeking a skilled researcher to design and develop state-of-the-art conversational booking agents. The ideal candidate will integrate with existing company systems, engage users naturally and effectively in English (with future expansion to Arabic), ensure safety and reliability, and provide personalized recommendations.

• Design and develop the core conversational capabilities of the booking agent using cutting-edge LLMs and NLP techniques.
• Investigate and implement strategies to prevent misleading advice and enhance model safety and robustness against manipulation.
• Collaborate closely with the project team to define data requirements for training and fine-tuning conversational models.
• Evaluate the agents' conversational quality, safety, and security.
• Work with engineers to integrate the conversational module with backend systems and user interfaces.
• Stay updated on the latest research in conversational AI, dialogue systems, LLM safety, and related fields.
• Publish research findings in top-tier conferences and journals.
• Mentor junior researchers or research assistants involved in related tasks.
• Collect, preprocess, and store conversational data ensuring compliance with privacy standards and efficient use in model training and improvement.
• Benchmark and evaluate NLP models to assess performance across various metrics and fine-tune models based on results.

A PhD in Computer Science, Machine Learning, or a related field with a focus on Natural Language Processing and Conversational AI is required.

The Role

Department: R&D / Manufacturing Reports to: Head – R&D / Technical Director Role Summary The Research Scientist will be responsible for research, development, optimization, validation, and transfer to manufacturing of RT-PCR diagnostic kits. The role involves assay design, troubleshooting, analytical validation, and ensuring compliance with regulatory and quality standards for molecular diagnostics. Key Responsibilities
• Assay Development & Optimization
• Design and optimize primers, probes, and reaction conditions for real-time PCR–based assays.
• Develop multiplex RT-PCR assays with high sensitivity and specificity.
• Standardize sample preparation, nucleic acid extraction, and amplification workflows.
• Validation & Verification
• Conduct analytical validation (LOD, linearity, specificity, cross-reactivity, precision, reproducibility).
• Support clinical validation studies with reference materials and clinical samples.
• Prepare technical reports and validation documents.
• Technology Transfer & Manufacturing
• Scale-up optimized assays for routine kit manufacturing.
• Prepare and standardize master mixes, controls, and QC panels.
• Work closely with production and QA/QC teams for batch release and troubleshooting.
• Regulatory & Quality Compliance
• Ensure compliance with ISO 13485, IVD regulations, and applicable international standards.
• Draft and maintain SOPs, technical files, and risk management documents.
• Support regulatory submissions and audits.
• Cross-Functional Collaboration
• Liaise with product management, manufacturing, and quality teams to ensure smooth R&D-to-market transition.
• Train technical staff on new assay protocols and troubleshooting.

Requirements

Qualifications
• Ph.D. / M.Sc. / M.Tech. in Molecular Biology, Biotechnology, Biochemistry, Microbiology Life Sciences, Genetics or related field. Experience in NGS/Genomics would be a plus. Experience in assay design, troubleshooting, analytical validation, and ensuring compliance with regulatory and quality standards for molecular diagnostics.

About the company

We are experts in helping companies create great promotional products that are effective in marketing goals.We have been doing this for many years and we are proud to say that we offer our clients with branding opportunities that really work.

About Uplift

Uplift is a dynamic agency specializing in global talent search, covering EMEA, LATAM, USA, and APAC. With successful placements in 52 countries, we combine speed and cutting-edge technology to source top executive and mid-senior talent across various functions. Our innovative approach integrates global networks, AI, and advanced recruitment tools. Beyond recruitment, we engage with our audience through our podcast, newsletter, and webinars, ensuring we stay at the forefront of talent acquisition and global HR trends.

About the Company

A leading technology-driven organization is seeking a
RESEARCH SCIENTIST (CHEMICALS)
to join its team in Sharjah, UAE. The company provides innovative solutions across packaging, printing, and retail industries, with a strong footprint across the MENA and Asia regions.

Research Scientist (Chemical)

The ideal candidate for the Research Scientist (Chemical) role will have the following domain knowledge:

• Inkjet ink formulation (water-based, UV-curable, pigment/dye-based)
• Pigment dispersion, rheology, viscosity and stability analysis
• Polymer chemistry, colour matching and print testing
• Ink-substrate interaction and adhesion analysis
• Laboratory instrument handling and safety (pH meter, spectrophotometer, etc.)
• Regulatory and EHS protocols for chemical R&D labs

Key Responsibilities

Primary:

• Assist in formulation of new inkjet inks
• Perform laboratory trials utilizing diverse raw materials and systematically record performance metrics. Innovate and optimize cost-efficient, eco-friendly formulations to align with sustainability goals.
• Perform quality and stability checks on experimental batches.
• Participate in scale-up trials and support manufacturing transitions.
• Maintain detailed logs of formulations, test results and raw material sources.
• Coordinate with QA and production for resolution of technical issues.
• Conduct comparative studies against benchmarks and competitor samples.
• Assist in resolving routine production quality challenges and support to meet the production targets

Other:

• Ensure lab cleanliness, safety protocols and waste management compliance.
• Calibrate and maintain testing instruments regularly.
• Update ink formulation databases and organize ink libraries.
• Contribute to cost-reduction studies and raw material substitutions.
• Engage with raw material vendors for sample evaluations.
• Support training of interns and junior lab assistants in testing procedures.

Skills Required

• Strong foundation in chemistry and formulation science
• Attention to detail and analytical thinking
• Team coordination and communication skills
• Data accuracy, observation and troubleshooting

Technical/Functional Proficiency Required

• Ink characterization: viscosity, surface tension, colour strength
• Spectroscopy, pH control, particle size analysis, dispersion methods
• Lab documentation tools, Excel and compliance protocols

Educational Qualifications

B.Sc. / M.Sc. in Chemistry / Polymer / Industrial Chemistry

Experience Level

Minimum 5 years of experience in formulation or QC labs

Compensation:
Based on experience and potential

As a key member of our research team, you will be responsible for conducting high-quality experimental, analytical, and/or computational research in future structures and resilient infrastructure systems.

• The successful candidate will lead and participate in cutting-edge research projects, collaborate with senior researchers, and contribute to publishing research work and results in top-tier scientific journals and conferences.

Requirements:

PhD degree in Civil, Structural, Mechanical, or Material Engineering (or related field) is required. Strong communication and presentation skills are essential. A track record of publishing peer-reviewed journal publications and experience in mentoring or supervising undergraduate student research or junior graduate students are highly desirable.

Preferred Qualifications:

Formal training in additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs is an advantage. Expertise in programming (Python and C++), GUI development, computational mechanics, finite element simulation, laboratory testing is also beneficial.

What We Offer:

A highly competitive compensation package, medical insurance, housing allowance, annual home-leave travel, and educational subsidies for children (if applicable).

Our organization is dedicated to fostering a collaborative and inclusive work environment that encourages innovation and excellence.

A position is available as a Research Associate in the field of Sustainable Heterostructured Z-Scheme Photocatalyst for Green Energy Applications.

This role requires expertise in material science and mechanical engineering with a strong background in research and development.

The selected candidate will be responsible for conducting experiments, analyzing data, and publishing research papers in top-tier journals.

• Conducting experiments and collecting data
• Analyzing and interpreting results
• Publishing research papers in top-tier journals

• Masters degree in material science or mechanical engineering
• PhD in material science or mechanical engineering (desired)
• Relevant publications related to the field

Please submit your application before 31st December, 2025. We look forward to reviewing your application.