11 AI Evangelist jobs in the United Arab Emirates

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

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

Project description

Our client, a leading manufacturer of high-end household appliances, is expanding into new smart product lines. As part of this strategic initiative, a large‑scale global program is being implemented across the company's IP portfolio. This includes the development of new embedded software, enhancements to cloud infrastructure.

• Work directly with computer vision perception engineers, and camera ISP engineers
• Define the image quality requirements for customer use cases
• Develop image processing algorithms to optimize camera image quality for performance improvement of computer vision applications
• Develop custom ML models for visual recognition and train them from scratch
• Quantize and prune ML models
• Evaluate data using relevant metrics to increase model performance
• Implement computer vision/image processing algorithms in fast/optimal C++ code
• Implement heuristic/math algorithms and probabilistic methods for camera AI
• Research existing C++ solutions for CV logic
• Develop cross‑platform C++ code
• Cover algorithms and CV code with unit tests
• Ramp up on new technologies related to CV/ML/algorithms (not R&D)
• Integrate machine learning modules into algorithms

• Bachelor's Degree or greater in Computer Science, Software Engineering, or related field
• 3‑5 years of experience developing computer vision applications/algorithms
• Participated in at least 2 image processing / computer vision projects and 1 productized
• Image processing / computer vision background/understanding
• Strong C/C++ experience
• Experience with OpenCV and ML frameworks such as PyTorch, TensorFlow, TensorFlow Lite
• Deep understanding of neural network architectures
• Experience working with embedded devices in C++ on Linux
• Good understanding of geometry (2D/3D) and algebra
• Desire to learn new technologies
• Desire to follow test‑driven development (in CV/ML as well)

• Experience with machine learning integration, inference engines
• General machine learning understanding
• Experience building for Android/Yocto
• Experience/understanding of OpenCL/cuD, or OpenGL/Vulkan (shaders) and desire to learn other SIMD languages

Company : Galaxeer Space Consultancy LLC

Date Posted :

Institution: Galaxeer Space Consultancy LLC (Abu Dhabi, UAE)
Deadline for Application: July 25, 2025; 5:00 PM
Project Title: Development of a Python-based AI/ML Library for Space Applications Project Leader: Dr. Florence Wong
Duration: August-September 2025 (subject to extension)
Salary: Php 28,000/month (+ performance-based incentives)
Tentative schedule of interviews: July 28, 2025 (afternoon)

We’re developing a Python library for various applications in space. Accepted applicants will work remotely and coordinate with our team in the UAE for an initial period subject to extension.

Qualifications,Duties and Responsibilities:

• Bachelor’s Degree or higher in Computer Science or relevant to the job
• Experience working with CNN/GNN convolution layers
• Lead the design, implementation, and optimization of architecture of CNN/GNN convolution layers.
• Drive architectural innovation and decision-making.
• Mentor RAs and coordinate integration of new components.
• Actively participate in model tuning, evaluation, and quality assurance.

Interested and qualified applicants should signify their interest in writing. Please attach the following documents to the application letter and send to :

• Resume/CV
• A 30-second video outlining relevant CNN/GNN coding experience Subject: Senior ML Engineer for Galaxeer Project

Selected candidates will be invited for a coding interview and test; candidates who successfully pass the coding interview will be invited to a general interview to determine the candidate’s fit for the role and company culture.

Overview

International Conference on Machine Learning and Cybernetics (ICMLC)

It aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Machine Learning and Cybernetics. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Machine Learning and Cybernetics.

Abu Dhabi, United Arab Emirates | Posted on 01/11/2025

Consultz is supporting our client, a well-renowned SWF in the region in their search for Manager of Artificial Intelligence .

To lead the development and implementation of advanced machine learning (ML) models and generative AI solutions. The role involves driving innovation, solving complex business challenges, and seamlessly integrating AI technologies into our existing systems and processes.

To be successful in this role, the candidate should possess a deep technical understanding of AI and ML, with a proven track record of deploying machine learning models in real-world applications. They should demonstrate strong problem-solving capabilities and have experience in collaborating with cross-functional teams. Experience in cloud environments, particularly Azure, is highly desirable to effectively contribute to the organization's strategic objectives.

• Design, develop, and deploy robust machine learning models and generative AI solutions tailored to specific technical and organizational challenges.
• Implement scalable machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
• Optimize and fine-tune ML models for accuracy, performance, and scalability in real-world production environments.
• Develop APIs and integrations to enable seamless interaction between AI models and existing systems or applications.
• Monitor and troubleshoot deployed models to ensure performance, reliability, and compliance with data and ethical standards.
• Conduct research on advancements in AI models and solutions to influence the direction of the organization’s AI roadmap.
• Collaborate with data engineering teams to ensure robust data pipelines and infrastructure to support AI initiatives.
• Implement and maintain version control and CI/CD pipelines for ML model deployment and lifecycle management.
• Utilize Azure cloud services for model training, deployment, and scaling, leveraging tools like Azure Machine Learning Studio, Databricks, and other relevant platforms.
• Ensure adherence to best practices in AI/ML development, including reproducibility, testing, and code quality standards.

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Over 10 years of experience in the field, with a minimum of 5 years of experience as an AI Developer, with a strong focus on building and deploying machine learning models.
• Experience in the implementation of solutions using generative AI models (OpenAI services including GPT and embedding models and other popular open-source models).
• Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks like TensorFlow, Keras, or PyTorch.
• Demonstrated experience in implementing ML models in real-world scenarios, with case studies or portfolio examples.
• Experience in improving model performance including optimization techniques, hyperparameter tuning, performance monitoring.
• Strong understanding of data structures, data modeling, and software architecture.
• Experience with cloud platforms, particularly Microsoft Azure, is highly desirable.
• Good understanding of data management principles, data warehousing, and business intelligence concepts.

MBZUAI is an open invitation to the world to collaborate on AI at a leading artificial intelligence university in a thriving, innovative, and multicultural environment.

Mohamed bin Zayed University of Artificial Intelligence: Academic Affairs Division: Masters in Applied AI

Location

Open Date

Oct 24, 2025

Description

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is seeking passionate and highly motivated faculty members in the field of Artificial Intelligence. Responsibilities include delivering high-quality instruction, mentoring students, contributing to curriculum development, and engaging in interdisciplinary research. Faculty will have opportunities to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.

The Master in Applied Artificial Intelligence (MAAI) program aims to address the skills gap in AI applications within industry, both in the UAE and globally. It combines theoretical knowledge with practical experience, preparing students to implement AI technologies across industry, research, and government sectors.

Aligned with Abu Dhabi’s vision for a knowledge-based economy, the program educates future leaders in AI applications, supporting national strategies and societal development. Its industry-focused, project-based curriculum emphasizes applied and entrepreneurial skills to foster AI innovations with societal, economic, and environmental impacts.

About MBZUAI – A Global Leader in AI Research and Education

Established in 2020, MBZUAI is the world’s first university dedicated solely to AI. It has quickly become a top-ranked AI institution, hosting over 80 faculty members and 330+ graduate students, and ranking among the top 10 AI universities worldwide.

The university plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030. MBZUAI promotes collaboration among academia, industry, and government to drive AI innovation addressing real-world challenges in healthcare, sustainability, and beyond.

Upcoming initiatives include launching undergraduate degree programs next year and expanding Master’s and PhD programs with new specializations in Statistics and Data Science, Computational Biology, and Human-Computer Interaction.

Why Join MBZUAI?

• Top-tier compensation aligned with leading global academic institutions
• Research funding and academic freedom to foster groundbreaking AI advancements
• Exceptional benefits, including relocation support for international faculty
• State-of-the-art research facilities with advanced AI labs and high-performance computing
• Living in Abu Dhabi: a safe city with year-round sunshine, rich culture, and modern amenities
• Opportunities to collaborate with top AI researchers, tech firms, and policymakers

Qualifications

Applicants should hold a PhD in Computer Science or a related field with a strong focus on AI. Candidates must demonstrate excellence in impactful research and show an interest in mentoring students.

Application Instructions

To apply, please submit:

• Curriculum Vitae with key publications and teaching experience
• A statement of teaching philosophy, vision, and interests
• Contact details for three referees (reference letters will be uploaded via Interfolio)

MBZUAI values diversity and is an equal opportunity employer. We actively seek to recruit faculty from around the world to foster an inclusive, multicultural environment.

Join us in shaping the future of AI – apply today at MBZUAI!