Programming Jobs in UAE

Main Responsibilities:<br>Provide expert-level technical support for automation systems and AVEVA software solutions, including System Platform, InTouch, Historian, and related applications. Perform advanced troubleshooting, problem analysis, and root cause identification for complex technical issues. Work closely with customers to understand their business requirements and technical challenges. Provide technical guidance on system upgrades, migrations, and enhancements. Mentor junior support engineers, providing guidance on complex technical issues and resolution approaches. Share technical expertise and best practices with team members to build overall team capability. Escalate complex technical issues to appropriate internal teams or AVEVA vendor support when necessary. Coordinate with Account Delivery Manager on project-related technical matters and customer concerns. Monitor and manage assigned support cases to ensure timely resolution and SLA compliance. Ensure customer satisfaction through proactive communication and follow-up. Identify trends in support cases and escalate systemic issues appropriately. Conduct quality assurance reviews before deploying changes to customer environments. Validate system functionality following upgrades or modifications. Contribute to the development of test plans and test cases for AVEVA solutions. <br>Qualifications:B. S. Computer Engineering, or any related field. 5+ years of experience as a Technical Engineer or equivalent. Proficiency in AVEVA System platform, InTouch, Historian, and database applications. Strong hands-on experience in AVEVA System Platform (SCADA), industrial automation systems, and customer support activities. Knowledge of programming languages like SQL, scripting, and PLC programming is beneficial. Must have worked in a large-scale System Platform implementation. Excellent communication, collaboration, and problem-solving skills Ability to manage multiple projects and clients effectively. Deep technical knowledge of AVEVA software and automation systems Advanced troubleshooting and diagnostic skills Analytical mindset with ability to identify root causes quickly Systematic approach to problem resolution Ability to work with complex technical architectures and integrations. Arabic speaker Available and experience in Dubai<br>If you want to make a mark, contribute to groundbreaking projects, and be a part of a team that's shaping the future, we want to hear from you. Send your CV to career@aitsmena.comJoin us, and let's co-create the future!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>The Center for Artificial Intelligence and Robotics (CAIR) at NYU Abu Dhabi invites qualified applicants with a doctorate degree in the areas of electrical or computer engineering or computer science, or related fields to apply. A strong publication record is encouraged and previous experience in areas such as Neural network vulnerabilities and defenses, Anomaly detection, Adversarial machine learning, Computer vision, and Autonomous Robots is desired.</span></p><br><br> <p><span>The successful applicant will work on various projects on robotics and computer vision, controls, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in MATLAB/Python), deployment to robotics applications; onboard computational hardware using the Robot Operating System), and experimental testing (on unmanned vehicle swarms). A solid competency with the standard implementation tools used in machine learning and embedded systems (e.g., C, C++, Linux, PyTorch, TensorFlow, MATLAB, Python, Robot Operating System) is required.</span></p><br><br> <p><span>The position is open to PhDs with backgrounds in AI, and/or computer vision and robotics/controls, and with less than 5 years of experience after receiving their PhD. The candidate is expected to work in a highly collaborative multi-disciplinary environment with other post-doctoral associates, PhD and undergraduate students, as well as faculty members (both in NYU Abu Dhabi and NYU New York). It is expected that applicants have a strong publication record in the aforementioned areas. The applicants are also expected to have strong analytical, communication, and writing skills.</span></p><br><br> <p><span>Applications will be accepted on a rolling basis and candidates will be considered until the positions are filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree/ copy of highest degree, research statement, and at least 2 contact references referees having essential knowledge of the candidate’s academic work, all in PDF format.</span></p><br><br> <p><span>If you have any questions, please reach out to Dr. Farshad Khorrami at </span><span>khorrami@nyu.edu</span><span>.</span></p><br><br> <p><strong><span>Working for NYUAD</span></strong></p><br><br> <p><span>At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. </span><span>Visit our website for more information on benefits for you and your dependents.</span></p><br><br> <p><span>NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.</span></p><br><br> <p><span>Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.</span></p><br><br> <p><strong><span>Join NYU Abu Dhabi, an exceptional place for exceptional people.</span></strong></p><br><br> <p><span>NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission.</span></p><br><br> <p><span>@WorkAtNYUAD</span></p><br><br><br> </div>

We are looking for a Service Delivery Manager to lead customer onboarding and delivery of the company solutions across venues. This role ensures deployments are completed on time, without delays, and with strong customer satisfaction throughout onboarding and post-go-live.<br>You will manage Technical Support Engineers and Project Managers, and work closely with Sales and Customer Success Managers (CSMs) to ensure smooth execution and positive customer experience.<br>Key Responsibilities<br>Own end-to-end customer onboarding and service delivery Ensure projects are delivered on time, within scope, and to quality standards Manage customer expectations, communication, and overall sentiment Act as escalation point for onboarding and delivery issues Lead and coordinate engineers and project managers across multiple deployments Identify risks and drive resolution proactively Ensure smooth handover from Sales → Delivery → Customer Success Oversee deployments of WiFi Captive Portals, Location Analytics, Kiosk Applications & Wayfinding, Mobile Wayfinding (Blue Dot), and Indoor Asset Tracking solutions Maintain structured project tracking, reporting, and documentation<br>Requirements<br>3+ years hands-on experience in Wired/Wireless Network Engineering Proven experience in customer onboarding and service delivery (mandatory) Strong knowledge of enterprise WiFi and networking (TCP/IP, VLANs, DNS, DHCP) Strong knowledge of RADIUS / AAA authentication Experience with systems (Windows/Linux) and cloud environments Experience with APIs, SDKs, and web technologies CCNA (or equivalent level) – certification not required to be current, but must have been obtained or demonstrated in experience Strong communication and customer-facing skills Ability to manage multiple projects and teams in a fast-paced environment Business mindset with focus on delivery outcomes and customer satisfaction<br>Preferred<br>CCNP, PMP, or ITILExperience with large venues (retail, hospitality, healthcare) Exposure to WiFi analytics, indoor navigation, or IoT solutions<br>What Success Looks Like<br>Onboarding delivered on time with no major delays High customer satisfaction during and after onboarding Strong coordination across technical, project, and business teams Clear visibility, reporting, and control over all active deployments

<p>Position Title: E-commerce Operations Executive - Retail Employment Type: Full Time Salary: up to 8K AED inclusive, depending on experience and qualifications Job Location: Dubai About the Client: A Dubai-based enterprise, with a continuously growing portfolio of various industries including luxury fashion, couture accessories, and lifestyle brands. Job Description: -Create and manage product listings across D2C websites and marketplaces. Coordinate with graphic designers, studio teams, store teams, and brand teams to obtain required product assets. -Manage category structures, collections, and product merchandising on ecommerce websites. Conduct regular website audits to identify broken links, content errors, and merchandising issues. -Monitor order flow across D2C websites and marketplace platforms. Ensure operational accuracy across Shopify, OMS, ERP, and marketplace systems. -Prepare asset sets for website launches, campaigns, and marketplace requirements. Support customer inquiries received through email, chat, WhatsApp, and other support channels.</p><p>-Open to Asian & Arabic nationalities, aged 38 and below; With Bachelor’s degree in Business, Commerce, Marketing, IT, or related field. -Minimum of 2 years’ experience in eCommerce operations, online retail, or eCommerce management. -Hands-on experience with Shopify, ERP, OMS, marketplace platforms (Amazon, Noon, Namshi, Trendyol) and product catalog management. -Experience in D2C eCommerce and fashion, footwear, sports, luxury, or lifestyle retail preferred.</p>

<p>We are seeking an experienced Odoo Technical Consultant to design, develop, customize, and maintain Odoo ERP solutions. The ideal candidate will have strong expertise in Python, the Odoo framework, PostgreSQL, and Odoosh, with experience delivering end-to-end ERP implementations and customizations.</p><br><p><strong>Key Responsibilities</strong></p><ul><li><p>Design, develop, customize, and maintain Odoo ERP modules.</p></li><li><p>Gather technical requirements and translate business needs into scalable solutions.</p></li><li><p>Develop custom modules, workflows, reports, and third-party integrations.</p></li><li><p>Configure Odoo, manage user access, security, and data migration.</p></li><li><p>Troubleshoot, debug, and optimize system performance.</p></li><li><p>Collaborate with functional consultants, project teams, and business users.</p></li><li><p>Perform testing, deployment, and documentation of developed solutions.</p></li><li><p>Provide technical support and ensure smooth post-implementation operations.</p></li><li><p>Stay updated with the latest Odoo technologies and best practices.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ol><li><p>Minimum <strong>4 years</strong> of hands-on experience in Odoo development.</p></li><li><p>Strong expertise in <strong>Python</strong> and the <strong>Odoo Framework</strong>.</p></li><li><p>Experience with <strong>Odoosh</strong>, Odoo installation, deployment, and upgrades.</p></li><li><p>Strong knowledge of <strong>PostgreSQL</strong>.</p></li><li><p>Experience with <strong>XML, JavaScript, HTML, CSS</strong>, and REST APIs.</p></li><li><p>Hands-on experience in module customization, workflow automation, and system integration.</p></li><li><p>Strong debugging, analytical, and problem-solving skills.</p></li><li><p>Excellent communication and stakeholder management skills.</p></li><li><p>Ability to manage multiple projects and meet deadlines.</p></li></ol><br><p>Preferred</p><ul><li><p>Experience in <strong>Finance, Retail, and Supply Chain (SCM)</strong> domains.</p></li><li><p>Knowledge of CRM, eCommerce, or other ERP integrations.</p></li><li><p>Odoo technical certification is an advantage.</p></li></ul>

About the Role:Al Khayyat Investments (AKI) is seeking a dynamic Business Development Specialist – Luxury Residential Projects to join our premium Fitness Division. This strategic role is dedicated to expanding our presence within luxury developments, high-end residential builds, and bespoke private estates.<br>What You Will Do (The Strategic Mission):• Specification Leadership: Partner directly with Tier-1 interior design firms, high-end fit-out contractors, and luxury residential developers to get our premium fitness and wellness brands specified into project blueprints early.• Relationship Infrastructure: Nurture and scale a robust, reliable network across country, design and construction landscape, positioning AKI as the premier consultative partner for custom home wellness spaces.• Pipeline Management: Track premium residential project lifecycles from inception and design consultation through to final supply, commercial negotiation, and installation.<br>What We Are Looking For:• Experience: 3+ years of proven success in project-based sales, key account management, or specification sales.• Domain Knowledge: Background within luxury building materials, high-end lighting, home automation, premium furniture, or luxury fit-out channels is highly valued.• The Network: Ready-to-go, warm relationships with developers, contractors, and prominent interior design firms active in premium residential projects across Dubai and Abu Dhabi.• Mindset: A consultative, highly mobile relationship-builder who understands how to interpret architectural timelines and design concepts.

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Our robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA, but we are hiring in the UAE for the first time.<br><br>We are looking for an AI Data Operations Manager to join Figure's Operations org and own a meaningful slice of how we produce human data for our humanoid robots. Data is one of the largest and most strategic functions at Figure, and this is a foundational role within it. You will solve zero-to-one problems and coordinate the development of new hardware, software, and operational systems with engineering and product.<br><br>Responsibilities<br><br>Day one, you will own a meaningful piece of Figure's data collection operation. You'll be hitting volume, quality, and velocity targets, building the systems that get us there, and partnering across engineering, product, and ops to make it happen. Specific responsibilities include:<br><br>Owning contributor acquisition, activation, and retention strategy and execution Identifying and launching in new geographies, managing localization, partnerships, and community building to establish presence in target regions Coordinating with engineering, product, and ops to develop the new hardware, software, and operational systems Owning your category’s data dashboard — tracking volume, quality, and throughput metrics daily, identifying bottlenecks, and shipping operational fixes fast Sourcing, negotiating, and managing relationships with local partners, agencies, and vendors to accelerate growth Serving as the connective tissue between your contributors and internal teams — surfacing hardware/software friction, translating field feedback into actionable product improvements, and advocating for your workstreams' needs<br><br>Requirements<br><br>4+ years in investment banking, management consulting, corporate development, growth, or startup operations roles, ideally with exposure to a frontier technology business Comfortable rapidly building and deploying apps/agents using AI coding tools (zero technical academic background necessary) Demonstrated ability to own outcomes Exceptional written and verbal communication skills Experience working across cultures or in international markets Highly organized with strong project management instincts — comfortable managing multiple contributors, sessions, or sites simultaneously and keeping all plates spinning A commitment to 5 days/week in-office collaboration<br><br>Bonus Qualifications<br><br>Experience scaling consumer mobile applications or marketplace platforms Background in AI/ML companies or understanding of data collection for machine learning Prior experience in emerging markets or with distributed workforces Fluency in Arabic Experience managing physical-world operations (events, field crews, hardware logistics) in addition to digital platforms

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Our robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA, but we are hiring in the UAE for the first time.<br><br>We are looking for an AI Data Operations Manager to join Figure's Operations org and own a meaningful slice of how we produce human data for our humanoid robots. Data is one of the largest and most strategic functions at Figure, and this is a foundational role within it. You will solve zero-to-one problems and coordinate the development of new hardware, software, and operational systems with engineering and product.<br><br>Responsibilities<br><br>Day one, you will own a meaningful piece of Figure's data collection operation. You'll be hitting volume, quality, and velocity targets, building the systems that get us there, and partnering across engineering, product, and ops to make it happen. Specific responsibilities include:<br><br>Owning contributor acquisition, activation, and retention strategy and execution Identifying and launching in new geographies, managing localization, partnerships, and community building to establish presence in target regions Coordinating with engineering, product, and ops to develop the new hardware, software, and operational systems Owning your category’s data dashboard — tracking volume, quality, and throughput metrics daily, identifying bottlenecks, and shipping operational fixes fast Sourcing, negotiating, and managing relationships with local partners, agencies, and vendors to accelerate growth Serving as the connective tissue between your contributors and internal teams — surfacing hardware/software friction, translating field feedback into actionable product improvements, and advocating for your workstreams' needs<br><br>Requirements<br><br>4+ years in investment banking, management consulting, corporate development, growth, or startup operations roles, ideally with exposure to a frontier technology business Comfortable rapidly building and deploying apps/agents using AI coding tools (zero technical academic background necessary) Demonstrated ability to own outcomes Exceptional written and verbal communication skills Experience working across cultures or in international markets Highly organized with strong project management instincts — comfortable managing multiple contributors, sessions, or sites simultaneously and keeping all plates spinning A commitment to 5 days/week in-office collaboration<br><br>Bonus Qualifications<br><br>Experience scaling consumer mobile applications or marketplace platforms Background in AI/ML companies or understanding of data collection for machine learning Prior experience in emerging markets or with distributed workforces Fluency in Arabic Experience managing physical-world operations (events, field crews, hardware logistics) in addition to digital platforms

Join TK Elevator UAE L. L. C as a Quality Inspector in our Dubai office, where you will play a crucial role within the Quality Control department. This position offers an excellent opportunity to contribute to our commitment to delivering safe, reliable, and high-quality elevator products and services to our customers.<br><br>As a Quality Inspector, you will be responsible for conducting thorough inspections and audits of components, assemblies, and finished products to ensure compliance with both internal and external quality standards. You will utilize your keen attention to detail and analytical skills to identify defects, measure product specifications, and verify that all quality criteria are met or exceeded. Your work will directly impact the consistency and dependability of our elevators, supporting the safety and satisfaction of end-users.<br><br>Key Responsibilities:<br><br>Perform systematic inspections and tests on raw materials, in-process components, and final products to ensure adherence to quality specifications and customer requirements. Document and report inspection results accurately, providing clear feedback to manufacturing, engineering, and quality assurance teams. Assist in the development and maintenance of inspection procedures, checklists, and quality control documentation. Collaborate proactively with production teams to address quality issues and implement corrective and preventive actions. Participate in root cause analysis, quality audits, and continuous improvement initiatives. Ensure compliance with relevant industry standards, safety regulations, and company policies.<br><br>Qualifications and Skills:<br><br>Proven experience in quality inspection or a related role, preferably within manufacturing or industrial settings. Strong understanding of quality control processes, measurement tools, and inspection techniques. Ability to read and interpret technical drawings, specifications, and quality documentation. Excellent observational skills and meticulous attention to detail. Effective communication skills to interact collaboratively with diverse teams and stakeholders. Proficiency with standard quality management software and Microsoft Office applications is advantageous.<br><br>About TK Elevator UAE L. L. C:<br><br>At TK Elevator UAE L. L. C, we are dedicated to enhancing the urban landscape by providing innovative and sustainable elevator solutions. Our company values integrity, excellence, and teamwork, creating an inspiring and inclusive workplace where every member is empowered to thrive. Working with us means becoming part of a global leader in vertical transportation technology, committed to safety, quality, and continuous advancement.<br><br>This role is ideal for individuals passionate about quality assurance and who seek to make a meaningful impact within a dynamic environment. We provide opportunities for growth, ongoing training, and professional development to help you progress in your career.<br><br>If you are committed to upholding superior quality standards and want to contribute to a world-class company in Dubai, we encourage you to apply for this rewarding position.

<p>Our International Engineering Consultancy Client has a new requirement for a well experienced Land Surveyor to join their team in Dubai to work on high profile new RTA infrastructure projects. Successful candidates will have a proven background as a Land Surveyor working on high profile roads and highways projects in the UAE with prior experience in working for recognised Consultancy Companies. Previous RTA approval as Land Surveyor would be highly advantageous. This role is available for immediate joining and is for an initial 6 month contract as an outsourced employee through J10 Consulting. Key Responsibilities: • Perform land/field surveys and geodetic calculations. • Interface with client and contractors to determine and verify project survey requirements. • Complete the surveying requirements on schedule and within man-hour and cost budgets. • Check setting-out and levels. Check services locations and ensure their protection. • Prepare sketches to support the field work. Maintain all the survey information (field books, sketches and calculations). • Measure work done when required. • Observe site safety procedures. • Assist in the preparation of ‘as-built’ drawings. • Act positively, and participate in all health and safety issues at site, as required by the Resident Engineer, and project Safety Representative. • Perform other responsibilities associated with this position as may be appropriate. • Commitment to safe work practices.</p><p>Land Surveyor Experience: • The surveyor must have relevant technical qualification and must have not less than 5-8 years of experience in survey works with modern instruments in works related to major roads and highways infrastructure projects • Previous UAE Experience in RTA Infrastructure projects is required - valid RTA approval as Land Surveyor would be preferred • Previous experience in a recognised consultancy company is highly advantageous • Experience of inspection / supervising of project activities/works. • Highly experienced in Total Station and their associated software. • Computer literate with working knowledge of Auto CAD and other related software.</p>

With 3,500 employees across 8 countries in the Middle East, Egis has delivered over 700 complex development projects, stimulating economic growth and enhancing quality of life. Ranked among the top ten firms in the Middle East by Engineering News Record (ENR), Egis is committed to sustainable development. The Group’s operations in the Middle East are built on strategic acquisitions and a deep understanding of local market conditions. Egis’ long history of providing comprehensive engineering, consulting, and project management services makes it a trusted partner for regional governments, investors, and developers.<br><br><br><br>Job Description<br><br>Act as technical advisor for CCGT lead engineering / plant configuration scope during developer bid review and RFP/specification preparation. Lead technical due diligence, verify compliance with project/off-taker requirements, identify risks and deviations, prepare clarifications, support technical evaluation, and contribute to contract schedules and negotiation support.<br><br> <br><br><br><br>Qualifications<br><br>Bachelor’s degree in relevant engineering discipline Professional registration, chartership, or OEM/utility/off-taker experience is highly preferred<br><br><br>Additional Information<br><br>Required Experience<br><br>15+ years in CCGT/IPPs, OEM/EPC/owner’s engineer background preferred Experience in bid evaluation and technical advisory for utility-scale power plants<br>Technical Expertise<br><br>Understanding of CCGT thermodynamic cycle; GT/ST/HRSG integration; simple-cycle vs combined-cycle configuration; duct firing; supplementary firing; cooling system impact; emissions; OEM GT/ST technology; plant dispatch flexibility. ASME PTC 22, ASME PTC 46, ISO 2314, IEC/IEEE as applicable, OEM datasheets, heat balance diagrams, P&IDs, GA drawings, Grid Code requirements<br>Commercial/Contract Awareness<br><br>Ability to read and comment on IPP/PPA/EPC technical schedules, guarantees, LD-linked performance clauses, interface obligations, acceptance testing requirements, and developer deviations

With 3,500 employees across 8 countries in the Middle East, Egis has delivered over 700 complex development projects, stimulating economic growth and enhancing quality of life. Ranked among the top ten firms in the Middle East by Engineering News Record (ENR), Egis is committed to sustainable development. The Group’s operations in the Middle East are built on strategic acquisitions and a deep understanding of local market conditions. Egis’ long history of providing comprehensive engineering, consulting, and project management services makes it a trusted partner for regional governments, investors, and developers.<br><br><br><br>Job Description<br><br>Act as technical advisor for CCGT lead engineering / plant configuration scope during developer bid review and RFP/specification preparation. Lead technical due diligence, verify compliance with project/off-taker requirements, identify risks and deviations, prepare clarifications, support technical evaluation, and contribute to contract schedules and negotiation support.<br><br> <br><br><br><br>Qualifications<br><br>Bachelor’s degree in relevant engineering discipline Professional registration, chartership, or OEM/utility/off-taker experience is highly preferred<br><br><br>Additional Information<br><br>Required Experience<br><br>15+ years in CCGT/IPPs, OEM/EPC/owner’s engineer background preferred Experience in bid evaluation and technical advisory for utility-scale power plants<br>Technical Expertise<br><br>Understanding of CCGT thermodynamic cycle; GT/ST/HRSG integration; simple-cycle vs combined-cycle configuration; duct firing; supplementary firing; cooling system impact; emissions; OEM GT/ST technology; plant dispatch flexibility. ASME PTC 22, ASME PTC 46, ISO 2314, IEC/IEEE as applicable, OEM datasheets, heat balance diagrams, P&IDs, GA drawings, Grid Code requirements<br>Commercial/Contract Awareness<br><br>Ability to read and comment on IPP/PPA/EPC technical schedules, guarantees, LD-linked performance clauses, interface obligations, acceptance testing requirements, and developer deviations

Role: Senior AI Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking an AI Benchmark Engineer — Software Engineering to work on a full-time basis. The role involves designing and building high-quality multi-agent benchmark tasks grounded in real-world open-source code changes such as bug fixes, migrations, and refactors. You will evaluate how effectively AI agents understand large codebases, apply precise modifications, and produce correct, testable outputs.<br>Key Responsibilities:• Design and build multi-agent benchmark tasks based on real-world open-source code changes, including bug fixes, migrations, and refactors.• Work within the Harbor evaluation framework to run and validate tasks inside Docker environments.• Write clear, precise task instructions specifying file paths, function signatures, expected behavior, and constraints.• Develop Python-based verification scripts to validate correctness of agent-generated code changes.• Decompose complex engineering problems across multiple specialized agents and refine tasks within containerized environments.<br>Required Skills & Qualifications:• 5+ years of experience in Python and Java Script development.• Experience with AI coding benchmarks such as SWE-bench or Terminal-bench.• Strong ability to read and navigate large open-source codebases, including frameworks like Django, Flask, Fast API, or Node.js.• Familiarity with Git workflows, including pull requests, diffs, cherry-picking, and working with specific commits.• Experience with Docker, including writing Dockerfiles and managing builds.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the advancement of AI systems that solve mission-critical priorities. The work directly supports the evaluation of cutting-edge AI agents in real-world software engineering scenarios.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!