technical engineer

software engineer

data scientist

senior data engineer

data engineer

deep learning engineer

steadfast group

We are seeking an experienced and innovative AI Engineer to design, build, and deploy AI-driven solutions that enhance business operations and customer experience. The ideal candidate will have expertise in machine learning, natural language processing, and automation systems, with hands-on experience in developing and integrating AI models into production environments.Key ResponsibilitiesDesign, develop, and deploy AI/ML models and algorithms for business applications.Build and maintain data pipelines for model training and validation.Collaborate with software engineers, data scientists, and business teams to integrate AI capabilities into products and systems.Apply deep learning, NLP, and computer vision techniques to solve real-world problems.Optimize models for scalability, performance, and efficiency.Analyze datasets to identify trends, anomalies, and predictive opportunities.Stay updated with emerging AI technologies, frameworks, and best practices.Prepare technical documentation and participate in project planning and progress reporting.Ensure compliance with data security, governance, and ethical AI standards.Desired ProfileBachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field.3&ndash;6 years of experience in AI/ML model development, preferably within the UAE or GCC region.Strong programming skills in Python and libraries such as TensorFlow, PyTorch, Keras, Scikit-learn, and OpenCV.Experience with cloud-based AI environments (AWS SageMaker, Google Vertex AI, Azure ML).Solid understanding of data preprocessing, model evaluation, and deployment.Familiarity with MLOps pipelines and version control tools (Git, Docker).Excellent problem-solving, analytical, and teamwork skills.Salary AED20000 to AED30000Job Type: Full-timePay: AED20,000.00 - AED30,000.00 per month

AI Engineer

B&B Hotel Hannover-City

Are you passionate about combining machine learning and physics to accelerate simulation and optimization in energy systems? This is an exciting opportunity to join one of our major global clients as a Machine Learning Engineer &ndash; Physics-Based Surrogate Modelling, where you will design and deploy Graph Neural Network (GNN) and physics-informed neural network (PINN) models to emulate complex physical simulations for pipeline and well network systems.The role focuses on developing scalable surrogate models that capture multi-physics flow dynamics, reduce simulation costs, and enhance production optimization workflows. You will work at the intersection of data science, physics, and software engineering, transforming simulation data into actionable machine learning frameworks for predictive performance and real-time decision support.Key Responsibilities<ul><li>Develop, train, and deploy Graph Neural Network (GNN)-based surrogate models to approximate physics-based simulations for pipeline and well networks.</li><li>Design data transformation pipelines to convert numerical simulation outputs into graph representations suitable for deep learning architectures.</li><li>Integrate physics constraints and governing equations into neural network loss functions to ensure physically consistent predictions.</li><li>Implement Physics-Informed Neural Networks (PINNs) and hybrid ML-physics models for flow dynamics and pressure prediction.</li><li>Collaborate with domain experts to interpret simulation data, validate model outputs, and ensure consistency with reservoir and production physics.</li><li>Optimize model training for scalability, accuracy, and generalization across varying simulation conditions.</li><li>Build and automate model evaluation, versioning, and deployment frameworks using MLOps tools.</li><li>Develop visualization and post-processing tools to analyze surrogate model behavior and compare results with high-fidelity simulators.</li><li>Document methodologies, validation reports, and research findings for knowledge transfer and technical review.</li><li>Stay current with emerging trends in scientific machine learning, GNNs, and physics-informed AI frameworks.</li></ul>Required Qualifications / Experience / Skills<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Applied Mathematics, Petroleum Engineering, Mechanical Engineering, or a related field (Ph.D. preferred).</li><li>Minimum 7+ years of experience in machine learning model development, with focus on physics-based or scientific ML applications.</li><li>Proven expertise in Graph Neural Networks (GNNs) using frameworks such as PyTorch Geometric, DGL, or DeepMind Graph Nets.</li><li>Experience developing Physics-Informed Neural Networks (PINNs) or hybrid ML models incorporating domain constraints.</li><li>Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).</li><li>Solid understanding of numerical simulation, PDEs, and fluid dynamics in pipeline or reservoir systems.</li><li>Familiarity with data preprocessing, feature engineering, and large-scale scientific data handling.</li><li>Hands-on experience with MLOps tools (MLflow, Docker, Git, CI/CD pipelines) for model deployment and version control.</li><li>Ability to work cross-functionally with simulation engineers, data scientists, and domain specialists.</li><li>Strong analytical, mathematical modeling, and problem-solving skills with attention to detail.</li><li>Excellent written and verbal communication skills for technical documentation and presentations.</li></ul>Job Location 100% Remote / HybridType of Employment Full-time / PermanentSalary: NegotiableWhat You Can Expect from the Employer<ul><li>Opportunity to work with a global leader in energy and simulation technology.</li><li>Exposure to cutting-edge AI research and scientific computing.</li><li>Competitive compensation and benefits package.</li><li>Collaborative and innovation-driven environment with professional growth opportunities.</li></ul>Job Types: Full-time, PermanentApplication Question(s):<ul><li>Do you have 7 or more years of experience developing deep learning or physics-based ML models?</li><li>Have you built or deployed Graph Neural Network (GNN) or Physics-Informed Neural Network (PINN) models in production or research settings?</li><li>Are you proficient in Python and experienced with frameworks such as PyTorch Geometric or DGL for physics-based modeling?</li></ul>

Machine Learning Engineer – Physics-Based Surrogate Modelling

Elchaigroup

We are looking for an innovative AI Developer to join Elchai&rsquo;s innovation hub and help design intelligent systems that redefine how businesses operate. You&rsquo;ll build models that power real-world applications in finance, data intelligence, and automation.Requirements:<ul><li>Strong background in machine learning, deep learning, NLP, and data science</li><li>Advanced programming skills in Python</li><li>Hands-on experience with frameworks such as TensorFlow, PyTorch, or similar</li><li>Ability to design, train, and deploy AI models that drive measurable business outcomes</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you available to join immediately?</li></ul>

Artificial Intelligence (AI) Developer

Onliest

Job Title: Machine Learning Engineer &ndash; 3D GraphicsLocation: UAE Experience: 6+ years Job Type: Full-TimeRole: We are seeking a highly skilled and innovative Machine Learning Engineer with 3D Graphics expertise. In this role, you will be responsible for developing and optimizing 3D mannequin models using machine learning algorithms, computer vision techniques, and 3D rendering tools. You will collaborate with backend developers, data scientists, and UI/UX designers to create realistic, scalable, and interactive 3D visualization modules that enhance the user experience.Key Responsibilities:3D Mannequin Model Development:<ul><li>Design and develop 3D mannequin models using ML-based body shape estimation.</li><li>Implement pose estimation, texture mapping, and deformation models.</li><li>Use ML algorithms to adjust measurements for accurate sizing and fit.</li></ul>Machine Learning &amp; Computer Vision:<ul><li>Develop and fine-tune ML models for body shape recognition, segmentation, and fitting.</li><li>Implement pose detection algorithms using TensorFlow, PyTorch, or OpenCV.</li><li>Use GANs or CNNs for realistic 3D texture generation.</li></ul>3D Graphics &amp; Visualization:<ul><li>Create interactive 3D rendering pipelines using Three.js, Babylon.js, or Unity.</li><li>Optimize mesh processing, lighting, and shading for real-time rendering.</li><li>Use GPU-accelerated techniques for rendering efficiency.</li></ul>Model Optimization &amp; Performance:<ul><li>Optimize inference pipelines for faster real-time rendering.</li><li>Implement multi-threading and parallel processing for high performance.</li><li>Utilize cloud infrastructure (AWS/GCP) for distributed model training and inference.</li></ul>Collaboration &amp; Documentation:<ul><li>Collaborate with UI/UX designers for seamless integration of 3D models into web and mobile apps.</li><li>Maintain detailed documentation for model architecture, training processes, and rendering techniques.</li></ul>Key Skills &amp; Qualifications:Experience:<ul><li>3&ndash;8 years in Machine Learning, Computer Vision, and 3D Graphics Development.</li></ul>Technical Skills:<ul><li>Proficiency in Django, Python, TensorFlow, PyTorch, and OpenCV.</li><li>Strong expertise in 3D rendering frameworks: Three.js, Babylon.js, or Unity.</li><li>Experience with 3D model formats (GLTF, OBJ, FBX).</li><li>Familiarity with Mesh Recovery, PyMAF, and SMPL models.</li></ul>ML &amp; Data Skills:<ul><li>Hands-on experience with GANs, CNNs, and RNNs for texture and pattern generation.</li><li>Experience with 3D pose estimation and body measurement algorithms.</li></ul>Cloud &amp; Infrastructure:<ul><li>Experience with AWS (SageMaker, Lambda) or GCP (Vertex AI, Cloud Run).</li><li>Knowledge of Docker and Kubernetes for model deployment.</li></ul>Graphics &amp; Visualization:<ul><li>Knowledge of 3D rendering engines with shader programming.</li><li>Experience in optimization techniques for rendering large 3D models.</li></ul>Soft Skills:<ul><li>Strong problem-solving skills and attention to detail.</li><li>Excellent collaboration and communication skills.</li></ul>Interested candidates can send their updated resume to: careers@onliestworld.comJob Type: Full-time

ML Engineer -3D Graphic

Tether Operations Limited

<div><div> About the job As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field. You will have a deep expertise in video generation model architectures with a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: data curation, strengthening baselines, identifying and resolving existing pre-training bottlenecks to push the limits of model performance. Responsibilities <ul> <li> Pioneer multimodal and video-centric research that moves fast and breaks ground, contributing directly to usable prototypes and scalable systems. </li> <li> Design and implement novel AI architectures for multimodal language models, integrating text, visual, and audio modalities. </li> <li> Engineer scalable training and inference pipelines optimized for large-scale multimodal datasets and distributed GPU systems across thousands of GPUs. </li> <li> Optimize systems and algorithms for efficient data processing, model execution, and pipeline throughput. </li> <li> Build modular tools for preprocessing, analyzing, and managing multimodal data assets (e.g., images, video, text). </li> <li> Collaborate cross-functionally with research and engineering teams to translate cutting-edge model innovations into production-grade solutions. </li> <li> Prototype generative AI applications showcasing new capabilities of multimodal foundation models in real-world products. </li> <li> Develop benchmarking tools to rigorously evaluate model performance across diverse multimodal tasks. </li> </ul> </div> </div> Job requirements <div> <div> <ul> <li> Bachelor s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience </li> <li> Expertise in Python &amp; Pytorch, including practical experience working with the full development pipeline from data processing &amp; data loading to training, inference, and optimization. </li> <li> Experience working with large-scale text data, or (bonus) interleaved data spanning audio, video, image, and/or text. </li> <li> Direct hands-on experience in developing or benchmarking at least one of the following topics: LLMs, Vision Language Models, Audio Language Models, generative video models . </li> </ul> Nice to have skills: <ul> <li> PhD in Computer Vision, Machine Learning, NLP, Computer Science, Applied Statistics, or a closely related field </li> <li> Demonstrated expertise in computer vision, video generation foundation model and/or multimodal research. </li> <li> First-author publications at leading AI conferences such as CVPR, ICCV, ECCV, ICML, ICLR, NeurIPS etc. </li> </ul> Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: <ul> <li> </li></ul> </div> </div> <div> <div></div></div>

Senior Research Engineer

Ceenex Global LLC

We're Hiring: Wireless L3 Engineer! We are seeking a highly skilled Wireless L3 Engineer with extensive experience to join our dynamic team in Dubai. The ideal candidate will possess deep expertise in wireless technologies, network troubleshooting, and performance optimization to ensure seamless connectivity and service excellence.Location: Dubai, United Arab Emirates Work Mode: Work From Office Role: Wireless L3 EngineerSalary - 15000 AED to 18000 AED + BenefitsExperience - 8+ yearsWhat You'll Do:<ul><li>8+ yrs experience</li><li>Cisco Wireless Solution (Hands-on Configuration &amp; troubleshooting)</li><li>Cisco DNAC in terms of monitoring &amp; reporting.</li><li>Cisco ISE (Some knowledge in terms of integration &amp; wireless troubleshooting)</li><li>Wireless heatmap &amp; Site survey (Ekahau Tool)</li></ul>Ready to elevate your career? Apply now and let's connect!Job Type: Full-timePay: AED15,000.00 - AED18,000.00 per month

Wireless L3 Engineer

Omada Rail Systems

<div><ul><li>Design &amp; Engineering
</li></ul><ul><li>Permanent Contract
</li></ul><ul><li>Entry-Level
</li></ul><ul><li>Dubai</li></ul></div>
 <div>About Us 
Egis is an international player active in architecture, consulting, construction engineering and mobility services. We create and operate intelligent infrastructures and buildings that respond to the climate emergency and contribute to more balanced, sustainable and resilient territorial development. Operating in 100 countries, Egis puts the expertise of its 19,500 employees at the service of its clients and develops cutting-edge innovations accessible to all projects. Through its wide range of activities, Egis is a key player in the collective organisation of society and the living environment of citizens all over the world.
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&rsquo;s operations in the Middle East are built on strategic acquisitions and a deep understanding of local market conditions. Egis&rsquo; long history of providing comprehensive engineering, consulting, and project management services makes it a trusted partner for regional governments, investors, and developers. 
About the Role 
As a Graduate Mechanical Engineer, you will support the MEP design team in delivering engineering projects under the guidance of senior engineers. You will assist in preparing designs, drawings, and technical documentation related to HVAC, plumbing, and fire protection systems while gaining exposure to multidisciplinary coordination within large-scale building and infrastructure projects. The role involves learning and applying relevant international standards and codes, participating in design reviews, and ensuring adherence to quality procedures. You will work collaboratively with other disciplines to resolve design issues, update models and calculations, and prepare design reports and schedules. 
What do we need from you 
Bachelors in Mechanical Engineering</div>

Graduate Mechanical Engineer - MEP (UAE National)

Explore 3280+ Deep learning engineer in Dubai this November. Find roles across top companies and apply now to boost your career.