ai/ml engineer

data analyst

data scientist

junior data analyst

master data specialist

senior data scientist

Deeplight AI

<div>
 Deeplight AI is a premier professional services company delivering innovative AI and data science solutions to enterprise clients across the Middle East. We combine deep technical expertise with regional domain knowledge to help organizations harness the power of data and artificial intelligence. As trusted partners to leading businesses and government entities throughout the region, we drive digital transformation initiatives that align with national visions while delivering measurable business impact. At Deeplight AI, we're committed to advancing the AI ecosystem in the Middle East through ethical, responsible, and culturally-informed approaches to data science and machine learning.
 
 
 
 Job Summary
 
 
 
 As a Senior Data Scientist at Deeplight AI, you will lead the development of sophisticated data science solutions that address complex business challenges for our enterprise clients in the Middle East. This role requires combining advanced analytical expertise with business acumen to uncover actionable insights and develop predictive models that drive strategic decision-making. You will collaborate with cross-functional teams, mentor junior data scientists, and serve as a trusted advisor to clients, translating technical concepts into business value. This position offers the opportunity to work on high-impact projects across diverse industries while contributing to the region's ambitious digital transformation goals.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Lead end-to-end data science projects from problem formulation and data collection to model deployment and business implementation
 </li>
 <li>
 Design and develop advanced statistical models, machine learning algorithms, and data visualization solutions tailored to client needs
 </li>
 <li>
 Extract actionable insights from complex, multilingual datasets and communicate findings to technical and non-technical stakeholders
 </li>
 <li>
 Collaborate with AI engineers and software developers to operationalize models and integrate them into production systems
 </li>
 <li>
 Develop and implement data science best practices, methodologies, and quality standards across projects and teams
 </li>
 <li>
 Mentor junior data scientists and contribute to building data science capabilities within client organizations
 </li>
 <li>
 Stay abreast of emerging techniques and technologies in data science and evaluate their potential application to regional business challenges
 </li>
 <li>
 Advise clients on data strategy, governance, and compliance with regional regulations while ensuring ethical AI practices
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field
 </li>
 <li>
 5+ years of professional experience applying data science techniques to solve business problems
 </li>
 <li>
 Strong proficiency in statistical analysis, experimental design, and machine learning techniques
 </li>
 <li>
 Expert-level programming skills in Python and R, with experience using data science libraries and frameworks
 </li>
 <li>
 Demonstrated experience building and deploying predictive models, classification algorithms, clustering techniques, and time series forecasting
 </li>
 <li>
 Experience working with unstructured data, including text analytics and NLP techniques
 </li>
 <li>
 Proven ability to translate complex technical findings into actionable business recommendations
 </li>
 <li>
 Experience working in a client-facing role or professional services environment
 </li>
 </ul>
</div>

Senior Data Scientist

Prepaire Laboratory 7 Limited

Job Title: Senior Data Scientist &ndash; Digital TwinLocation: DubaiEmployment Type: Full-timeOverviewWe are seeking a Senior Data Scientist to lead the design, development, and deployment of our digital twin platform. You will work with multi-disciplinary teams&mdash;AI engineers, bioinformaticians, clinicians, and product managers&mdash;to create predictive models that translate complex biomedical data into actionable healthcare insights.Key Responsibilities<ul><li>Lead the development of patient-specific digital twin models integrating genomics, proteomics, metabolomics, imaging, and clinical data.</li><li>Design predictive algorithms for disease progression, treatment efficacy, and adverse event risk modeling.</li><li>Collaborate with data engineering teams to build scalable data pipelines for multi-modal data ingestion and processing.</li><li>Develop simulation frameworks to test intervention strategies before real-world application.</li><li>Implement machine learning and computational modeling techniques for real-time decision support.</li><li>Work closely with medical experts to ensure models are clinically relevant, explainable, and regulatory compliant.</li><li>Mentor junior data scientists and establish best practices for model development and validation.</li><li>Publish results and contribute to thought leadership in digital twin and precision medicine research.</li></ul>Requirements:<ul><li>Education: PhD or Master&rsquo;s in Data Science, Computer Science, Computational Biology, Bioinformatics, Applied Mathematics, or related field.</li><li>Experience: 5&ndash;8+ years in data science, with at least 3 years in healthcare, biotech, or life sciences.</li><li>Proven expertise in multi-modal data integration and time-series modeling.</li><li>Strong skills in machine learning (supervised, unsupervised, deep learning) using Python, R, or similar.</li><li>Experience with simulation modeling frameworks (e.g., agent-based models, systems biology modeling, digital twin architectures).</li><li>Familiarity with biomedical ontologies, EHR/EMR systems, and FHIR/HL7 standards.</li><li>Strong understanding of clinical trial design, regulatory requirements, and model validation in healthcare.</li><li>Excellent problem-solving skills, with the ability to translate complex scientific questions into computational solutions.</li></ul>Nice to Have<ul><li>Experience in precision medicine, pharmacogenomics, or drug discovery pipelines.</li><li>Familiarity with cloud computing (AWS, GCP, Azure) and MLOps best practices.</li><li>Publications or conference presentations in digital twin, predictive healthcare, or computational biology.</li></ul>What We Offer?<ul><li>Competitive salary and growth opportunities.</li><li>Availability for relocation is offered</li><li>The opportunity to drive innovation in the personalized medicine space.</li><li>Access to cutting-edge research, data, and tools.</li><li>A collaborative and forward-thinking environment where your ideas can make an impact.</li></ul>How to Apply:If you are passionate about supporting a high-performing team in an exciting, fast-paced industry, we&rsquo;d love to hear from you! Please submit your CV along with a cover letter detailing your relevant experience and why you believe you&rsquo;d be a great fit for Prepaire.Job Type: Full-timePay: AED25,000.00 - AED35,000.00 per month <div id='job-id'>Job Id: 8Dz4Z8887e+Dqvp9dzCfeFXza/tPRTlPzYXPIy0kRbc+IJaAumvGazlj+Rm8TsJTpsgS29SSMalO+8NCms4Cqg8gz8kZC0oCDK46GXHy2fIWkdakeARpQK8tFm5fj7cVxDlYM8WANoE=</div>

Senior Data Scientist – Digital Twin

Heaven Gifts

<div>
 
 
 About HeavenGifts
 
 
 
 HeavenGifts was founded in 2007 and has been a pioneer in China's e-vapor industry, witnessing and driving the industry's rapid development. In 2009, we established heavengifts.com to embark on the international journey of e-vapor products, building a bridge for domestic brands to enter the global market. From 2018 to 2021, we successfully transformed into a global brand owner, launching renowned brands such as ELFBAR and LOST MARY. Our business now covers over 100 markets worldwide, with more than 100,000 retail outlets, serving over 50 million adult users. We are committed to becoming a globally recognized and trusted new generation tobacco brand.
 
 
 
 
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Lead the design, development, and deployment of advanced machine learning models to support key business functions such as recommendation, demand forecasting, and customer segmentation.
 </li>
 <li>
 Build end-to-end ML pipelines, including data collection, feature engineering, model training, validation, and production deployment.
 </li>
 <li>
 Analyze large-scale structured and unstructured datasets to uncover business insights and support data-driven decision making.
 </li>
 <li>
 Collaborate with product, engineering, and marketing teams to translate business needs into data science solutions.
 </li>
 <li>
 Drive A/B testing, uplift modeling, and experiment design to evaluate the impact of product or marketing changes.
 </li>
 <li>
 Evaluate new tools, algorithms, and industry trends to continuously improve modeling approaches.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements
 
 
 <ul>
 <li>
 Bachelor's degree or Master&rsquo;s degree in Data Science, Computer Science, Applied Mathematics, Statistics, or a related field.
 </li>
 <li>
 5+ years of experience in data science, with at least 2 years in designing and deploying models in a production environment.
 </li>
 <li>
 Proficient in Python (Pandas, NumPy, Scikit-learn, PyTorch or TensorFlow), SQL, and version control tools (e.g., Git).
 </li>
 <li>
 Strong experience with machine learning algorithms, statistical modeling, and time series forecasting.
 </li>
 <li>
 Familiar with big data processing frameworks (e.g., Spark, Dask) and ML pipeline orchestration tools (e.g., Airflow, MLflow, Kubeflow).
 </li>
 <li>
 Hands-on experience with cloud platforms (AWS, GCP, or Azure) and deploying models via containers (e.g., Docker).
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualities
 
 
 <ul>
 <li>
 Track record of delivering high-impact, production-level AI/ML projects.
 </li>
 <li>
 Demonstrated thought leadership through published papers, patents, or open-source contributions.
 </li>
 <li>
 Passion for innovation, ownership, and continuously expanding the boundaries of what data science can do in a business context.
 </li>
 </ul>
 
 
 
 
 
 HeavenGifts is looking forward to your joining and creating a brighter future together.
 
 
 
 
 HeavenGifts &ndash; Innovation, Sustainability, Responsibility.
 
 
 
 
</div>

Position: Lead Data Scientist &ndash; AI, Click Chemistry, and Digital Twin Systems Location: Dubai (preferred) / Hybrid / Remote for exceptional candidates Compensation: Competitive salary + substantial equity stake + performance-based bonuses Start Date: ASAP &ndash; we&rsquo;re moving fast.About UsPrepaire Labs is the operating system of biology, a first-of-its-kind, open-architecture biological execution engine integrating AI-driven drug discovery, precision diagnostics, and real-time Digital Twins across a global federated network. Our ecosystem includes Clicktromics&trade; (AI + click chemistry for targeted therapeutics), GenetiQ (Digital Twin precision health), and a developer-friendly SDK that powers a plug-and-play marketplace for clinics, researchers, and biotech innovators.We&rsquo;re blending graph neural networks, diffusion models, federated learning, and iPSC/organoid feedback loopsinto a single seamless system that can design, simulate, and validate biology at scale. You&rsquo;ll be working on projects with direct impact, from antibody-drug conjugates for cancer to personalized regenerative therapies.The MissionWe&rsquo;re looking for a hands-on, visionary Lead Data Scientist who can code like an engineer, think like a systems architect, and inspire like a CTO. This role isn&rsquo;t about sitting in meetings, it&rsquo;s about rolling up your sleeves and building the AI backbones that power the next generation of human health.You&rsquo;ll lead multi-disciplinary teams across:<ul><li>Click Chemistry + Clicktromics&trade;: Predictive modeling and optimization of bioorthogonal reactions, payload-linker-drug assembly, and ADC design.</li><li>Digital Twin: Multi-omics ingestion pipelines, real-time model training, patient simulation, and therapy prediction engines.</li><li>Federated AI Systems: Model pruning, secure training, and orchestration across global nodes.</li></ul>What You&rsquo;ll Do<ul><li>Architect &amp; Build</li><li>Develop GNN, transformer, and hybrid AI pipelines for molecular design and patient-specific modeling.</li><li>Integrate click chemistry modeling tools into the Prepaire SDK for in silico-to-in vitro feedback loops.</li><li>Lead &amp; Inspire</li><li>Manage data science, bioinformatics, and ML engineering teams across continents.</li><li>Collaborate with chemists, biologists, and hardware engineers to translate science into scalable code.</li><li>Innovate &amp; Deliver</li><li>Turn scientific breakthroughs (e.g., new linkers or ADC payloads) into deployable, AI-driven design modules.</li><li>Build predictive models that guide therapeutic selection inside the GenetiQ Digital Twin.</li></ul>You Bring<ul><li>PhD or Master&rsquo;s in Computer Science, Bioinformatics, Computational Chemistry, or related field.</li><li>Deep experience in machine learning for biology (drug design, multi-omics modeling, protein-ligand interactions, or similar).</li><li>Fluency in Python, PyTorch/TensorFlow, and distributed computing frameworks.</li><li>Hands-on experience with chemical informatics (RDKit, DeepChem) and structural biology toolkits.</li><li>Proven leadership of cross-functional teams in high-stakes, time-critical projects.</li><li>Bonus: Experience with federated learning, quantum chemistry models, or iPSC/organoid modeling.</li></ul>What We Offer<ul><li>Strong salary: competitive with top-tier biotech + tech hybrid roles.</li><li>Equity: you&rsquo;ll own part of the company you help build.</li><li>Work on bleeding-edge science with Nobel-caliber collaborators.</li><li>Access to world-class labs and compute infrastructure (MIT, Harvard, Masdar, and beyond).</li><li>The freedom to move fast and ship real innovations: no academic red tape.</li></ul>Apply now: send your CV, GitHub, and a short note on the most ambitious technical project you&rsquo;ve ever led to: jobs@prepaire.comJob Type: Full-timePay: AED30,000.00 - AED40,000.00 per month

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more. Careem is led by a powerful purpose to simplify and improve the lives of people and build an awesome organisation that inspires. Since 2012, Careem has created earnings for over 2.5 million Captains, simplified the lives of over 70 million customers, and built a platform for the region&rsquo;s best talent to thrive and for entrepreneurs to scale their businesses. Careem operates in over 70 cities across 10 countries, from Morocco to Pakistan.
 
 
 
 About The Team
 
 
 
 The Careem Data Science team&rsquo;s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision making, operational efficiencies, and lead the region&rsquo;s AI ecosystem. As one of the tech leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with the top data science talent of the region, while innovating on our user experience using GenAI.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Be part of a 0-1 AI transformation for Careem app from personalization perspective.
 </li>
 <li>
 Build a long-term vision on how we can rethink our customer acquisition and engagement strategies leveraging data in our decision making.
 </li>
 <li>
 Drive exploratory analysis to understand the ecosystem, user behavior; identifying new levers to help move metrics and build models of user behaviors for analysis and product enhancements.
 </li>
 <li>
 Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
 </li>
 <li>
 Provide product leadership by sharing data-based recommendation to communicate state of business, root cause of change in metrics and experimentation results influencing product and business decision
 </li>
 <li>
 Implement scalable machine learning algorithms that will be used in production on big data.
 </li>
 <li>
 Embark on exploratory data analysis projects to achieve better understanding of phenomena as well as to discover untapped areas of growth and optimization.
 </li>
 <li>
 Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.
 </li>
 <li>
 Help define and track the appropriate key metrics for specific projects.
 </li>
 <li>
 Design and run randomized controlled experiments, analyze the resulting data and communicate results with other teams.
 </li>
 <li>
 You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.
 </li>
 <li>
 Build and deploy retrieval augmented generation systems and other applications of large language models.
 
 
 </li>
 </ul>
 
 What You'll Need
 
 
 
 <ul>
 <li>
 5-6 years of experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, transformation and cleaning of both structured and unstructured data.
 </li>
 <li>
 Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.
 </li>
 <li>
 Solid experience with Deep Learning Techniques (e.g attention, retrieval models, etc)
 </li>
 <li>
 1-2 years industrial experience in personalization, recommendation or search is a MUST. Preferably working in a product driven company.
 </li>
 <li>
 Strong problem solving and coding skills.
 </li>
 <li>
 Solid knowledge of AB testing, classic ML and DL
 </li>
 <li>
 Solid understanding of recommendations, ranking and retrieval.
 </li>
 <li>
 Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.
 </li>
 <li>
 Strong communication skills.
 </li>
 <li>
 Demonstrated experience with database technologies (e.g. Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).
 </li>
 <li>
 Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skills is a plus.
 </li>
 </ul>
</div>
 <div id='job-id'>Job Id: iMlzSfVvLWQrE8QIhpfBA57QnCSVYK4DLxwvOXl+oNE2qPgORegIn/b5lmn+bOHqkBQou+7LrqdNoUs9yelIauTAGE1WajupJkvlWVlOV1O5rWnDW+NSrjQis1Bi/TuzoJJMYGly4OO4g/1IdBJd55Y=</div>

Senior Data Scientist II

Al-Futtaim

<div>
 
 Job Requisition ID:
 
 170664
 
 
 Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United A&rdquo;rab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.
 
 
 By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day.
 
 
 
 Overview Of The Role
 
 
 
 The purpose of the role is to lead the development and deployment of cross-functional data science use cases at Al Futtaim Group (AFG). Reporting to the Head of Data Science, the Senior Data Scientist will leverage AI and cloud technologies for ROI maximization through executing forecasting, predictive and optimization analytics models. The role holder will support in coaching/training junior data scientists and developing a set of standards/protocols to ensure that the data science practice is scalable and future-proof.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Work closely with the head of data science, head of analytics strategy and, potentially vendors, to identify analytics opportunities based on a deep understanding of AFG businesses and their information assets.
 </li>
 <li>
 Lead the delivery of use cases by proposing and delivering advanced analytic models, utilizing a blend of contemporary and traditional data mining techniques, applied to both structured and unstructured data sets.
 </li>
 <li>
 This includes, conducting data quality assessments, sharing relevant insights with business stakeholders, creating model monitoring solutions and conducting QA on other data science models (built internally or through 3rd party vendors).
 </li>
 <li>
 Implement models by transforming/optimizing for performance code and deploying them into production.
 </li>
 <li>
 Provide guidance, training and coaching to junior data scientists and the analytics community on data science frameworks, best practices, and technologies.
 </li>
 <li>
 Support in the development of analytics standards and protocols to ensure scalability and support self-service advanced analytics.
 </li>
 <li>
 Research and stay up to date on latest data science and analytics approaches and practices in the market ensuring that, when relevant, these are appropriately leveraged within Data and Analytics function
 
 
 </li>
 </ul>
 
 Required Skills To Be Successful
 
 
 
 <ul>
 <li>
 Proven track record of shipping machine learning-powered algorithm products at B2C-like scale as well as working with cross-functional teams in an agile-like environment.
 </li>
 <li>
 &ldquo;Design and prototype&rdquo; part of the ML development pipeline, beginning with pulling datasets from SQL and ending with serializing ML models and assisting engineers to productionize model retraining and model serving systems.
 </li>
 <li>
 Practical experience of running impactful inferential analyses and data investigations to identify recurring patterns, root causes, and propose actionable product solutions.
 </li>
 <li>
 Design approaches to validate findings or test hypotheses, interpret experiments to measure the impact of new features.
 </li>
 <li>
 Have no problem communicating with ML/algorithm designs clearly to cross functional team members, especially engineers and product managers.
 </li>
 <li>
 Excellent organizational, multi-tasking, and time-management skills
 
 
 </li>
 </ul>
 
 What Equips You For The Role
 
 
 
 <ul>
 <li>
 7+ years of working experience in data science, with at least 3 years working in developing and deployment ML/DL solutions focused on batch and real-time data pipelines.
 </li>
 <li>
 Master&rsquo;s degree in Statistics, Machine Learning, Mathematics, Economics, Computer Science, Engineering, or any other related quantitative field. Proven record of delivering business impact through analytics solutions.
 </li>
 <li>
 Highly proficient and experienced in scripting languages and have rapid prototyping skills, that is, fluency in SQL, Python, Spark, etc. among others.
 </li>
 <li>
 Experience on the Azure Cloud platform: including Azure Databricks, Azure ML, Azure IoT etc.
 </li>
 <li>
 Experience working with Developer tools such as Azure DevOps, PyCharm/MS Visual Studio, Docker etc. Well versed in CI/CD and MLOps.
 </li>
 <li>
 Experience with probability and statistics inclusive of machine learning, optimization, forecasting and experimental design.
 </li>
 <li>
 Deep understanding of machine learning &amp; deep learning concepts and algorithms, various statistical techniques, and experimentation analysis workflows.
 </li>
 <li>
 Experience in benchmarking and model performance evaluation and improvement.
 
 
 </li>
 </ul>
 We&rsquo;re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish.
 
 
 Before you click &ldquo;apply&rdquo;: Please read the job description carefully to ensure you can confidently demonstrate
 
 why
 
 this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence.
 
 
 As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.
</div>
 <div id='job-id'>Job Id: ihCiQ6T+vBSYpWIQDH9Rs/hRm6LBPhaSi/atHXFEQPr+xHGhdJHytw1KFS0jGGwg5Kzo74nFHXsz+EMYpgDIH7dd7bdJXmwMMwKCAmh1wcxSRqyYHhCNcm7lBZwWxP909+cjRjhTqEFZwceY8u2B0roBkKNZG3ATARqXtWsbgMCRjySY5g==</div>

Senior Data Scientist | Corporate Services | Blue Rewards

Optimum Solutions Pte Ltd

<div>
 
 
 Experience:
 
 
 <ul>
 <li>
 Minimum 10+ years of overall experience with extensive experience in AI/ML or data science, with at least 2-3 years in a leadership role.
 </li>
 <li>
 Proven experience in banking or financial services is highly preferred.
 </li>
 <li>
 Hands-on with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and tools (Python, SQL, Spark).
 </li>
 <li>
 Experience in Azure ML tools: Databricks etc.
 </li>
 <li>
 Experience with end-to-end model lifecycle management and MLOps.
 </li>
 </ul>
 
 
 
 
 
 Competencies:
 
 
 <ul>
 <li>
 Proven leadership in managing high-performing AI/ML teams.
 </li>
 <li>
 Strong understanding of statistical modeling, machine learning, deep learning, and NLP.
 </li>
 <li>
 Experience deploying models in production (on-prem/cloud).
 </li>
 <li>
 Strategic thinking with strong stakeholder management and influencing capabilities.
 </li>
 <li>
 High level of ethics and regulatory awareness in deploying AI in banking.
 </li>
 <li>
 Excellent verbal and written communication skills.
 </li>
 </ul>
 
 
</div>
 <div id='job-id'>Job Id: H6+wmC7zrP1yYbphJzEKQmdnQTD/1AOoFpwT/cxSDPNdHpesm/3DSaIaoqWgwRqsBOGAHq+XgKpv/JpJDbGQaIyL/lmZZ+RvNg==</div>

Senior Lead Data Scientist (Onsite role in Dubai)

Explore 3024+ Senior data scientist in Dubai this August. Find roles across top companies and apply now to boost your career.

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Senior Data Scientist

Senior Data Scientist – Digital Twin

Senior Data Scientist

Senior Data Scientist – Digital Twin

Senior Data Scientist II

Senior Data Scientist | Corporate Services | Blue Rewards

Senior Lead Data Scientist (Onsite role in Dubai)