What Jobs are available for Robotics in Dubai?

We are looking for talented Robotics engineers to apply their knowledge and experience in robotics to complex and challenging problems. The Robotics Engineer will be responsible for researching, designing, building, and maintaining robotics systems and applications.

To be successful as a Robotics Engineer, you should be technically oriented and enjoy solving complex challenges. Ultimately, a top-notch Robotics Engineer should be innovative, open-minded, and an excellent troubleshooter.

• Reading, writing, analyzing, and interpreting technical procedures and schematics.
• Defining problems, collecting data, and deducing facts and conclusions.
• Writing software, building electronics, and designing mechanisms.
• Programming complex robotics systems.
• Researching, developing, and maintaining robotics systems and components.
• Evaluating and calibrating systems for maximum efficiency.
• Troubleshooting robotics systems and applications.
• Maintaining accurate documentation and records.

• Bachelor's degree in law, finance, business management, or a related field.
• Degree in automation, mechanical, robotics, or electrical engineering.
• 2+ years of industry experience.
• Excellent interpersonal, verbal, and written communication skills.
• Proven ability to develop mechanical and electrical systems.
• Proven skills in writing software and programming systems.
• Proficiency in drafting programs such as AutoCAD.
• Strong analytical and creative problem-solving skills.
• Able to apply advanced mathematical concepts.
• Able to work independently and as part of a team.

Dubai, United Arab Emirates | Posted on 07/31/2025

• Job Opening Status In-progress
• Job Opening ID ZR_750_JOB
• Job Type Full time
• Work Days 6 Days
• Salary 2500 AED Basic Salary + Company Accommodation
• Nationality No Preference
• Work Experience Intern or Entry Level (Below 2 Yrs Of Experience )
• Age Group 18 To 25; 25 To 35; 35 To 45
• Job Role Type INFORMATION TECHNOLOGY
• Date Opened 07/31/2025
• Country United Arab Emirates
• City Dubai
• Job Location - City Dubai

Event Support :Accompany robots during rentalsat events, ensuring optimal performance, providing on-site monitoring, andsafeguarding the equipment throughout the event. Should have the physicalstrength to lift safely and carry robots during setup and transport.

Maintenance & Support :Maintain robots inexcellent working condition, conduct regular cleaning, assist with logistics,and support delivery operations. Assist the Innovation Manager in conductingrepairs and promptly report any technical issues on-site to enable quick resolutionand ensure smooth functioning.

Performance Testing :Conduct robot testing andhardware diagnostics to ensure optimal functionality. Document test proceduresand results, identify faults, and assist in troubleshooting. Provide basicsetup support and report complex issues to the Innovation Manager for furtherresolution.

Customer Support :Respond promptly to customerinquiries via phone, chat, email, or walk-ins. Provide accurate information,deliver product demonstrations when required, and ensure timely handling ofsales inquiries by coordinating with the relevant team.

Event Participation :Actively contribute toexhibitions, expos, and company-led initiatives by assisting with robot demosand engaging visitors. Support content creation for social media by capturingevent highlights and showcasing robot interactions for promoting brandvisibility online.

• Degree or diploma in a technology-related field (e.g., Robotics, IT, Electronics, or Engineering).
  
• Hands-on experience with IT hardware, basic diagnostics, and robot handling.
  
• Proficiency in Microsoft Office and Zoho applications, especially Zoho CRM and Zoho Finance.
  
• Strong attention to detail with the ability to document testing, issues, and customer feedback accurately.
  
• Excellent communication and interpersonal skills for customer interaction, demos, and support.
  
• Ability to work under pressure, manage multiple tasks, and meet tight deadlines with minimal supervision.
  
• Willingness to travel for events, assist in lifting/carrying robots, and adapt to dynamic exhibition environments.
  

Technical Support Executive (Robotics & AI Solutions)

Dubai, United Arab Emirates | Posted on 10/08/2025

Job Type: Full time | Work Days: 6 Days | Work Experience: Intern or Entry Level (Below 2 Yrs Of Experience) | Nationality: No Preference | Age Group: 18 To 45 | Job Role Type: INFORMATION TECHNOLOGY

• Robot Support: Setup Robots, train them for best performance. Excellent knowledge of working with Excel is required.
• Online Support: Support client with robots, ensuring optimal performance, providing on-line bug fixing and advisory. Assist the Robot Manager in conducting repairs and promptly report any technical issues on-site to enable quick resolution and ensure smooth functioning.
• Customer Support: Respond promptly to customer inquiries via phone, chat, email, or walk-ins. Provide accurate information, deliver product demonstrations when required, and ensure timely handling of sales inquiries by coordinating with the relevant team.
• Performance Testing: Conduct robot testing and hardware diagnostics to ensure optimal functionality. Document test procedures and results, identify faults, and assist in troubleshooting. Provide basic setup support and report complex issues to the Innovation Manager for further resolution.
• Web Page Development and Update: Update the e-commerce platform/website with robot information with

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!

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

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.