Model Jobs in Egypt

<p><h4>Job purpose</h4> <p>The BIM Structural Engineer is responsible for developing, coordinating, and controlling structural BIM models and related technical deliverables in accordance with project BIM requirements, design information, construction priorities, and applicable coordination workflows. The role supports clash-free, constructible, and properly documented structural outputs for design, shop drawing, and multidisciplinary coordination stages.</p> <h4>Functional responsibilities</h4> <ul> <li>Develop and maintain structural BIM models for concrete, steel, foundations, slabs, beams, columns, walls, stairs, openings, and related structural components.</li> <li>Prepare and update structural shop drawings, plans, sections, details, schedules, and quantity-related outputs extracted from BIM models where applicable.</li> <li>Coordinate structural models with architectural, MEP, infrastructure, and construction teams to identify and resolve clashes and interface issues.</li> <li>Review design drawings, consultant comments, RFIs, and coordination inputs, then reflect approved updates in the structural model and drawings.</li> <li>Ensure model accuracy, naming conventions, worksets, levels, grids, views, sheets, parameters, and families comply with the project BIM Execution Plan and company standards.</li> <li>Support clash detection workflows by preparing models for Navisworks or equivalent coordination platforms, reviewing clash reports, and closing assigned issues.</li> <li>Prepare clear technical markups and coordination notes for unresolved structural conflicts, missing information, or design discrepancies.</li> <li>Maintain model health by auditing warnings, duplicate elements, constraints, links, file size, view templates, and worksharing practices.</li> <li>Coordinate with structural designers and site teams to ensure the model reflects approved design intent and practical construction requirements.</li> <li>Support submission tracking by updating drawing status, revision records, consultant comment responses, and model/drawing issue logs.</li> </ul> <h4>General responsibilities</h4> <ul> <li><strong>HR proficiency:</strong><br>Ability to obtain updated soft and technical skills related to the job.<br>To have a vision and a plan for the career path and how to achieve it.</li> <li><strong>Delivery:</strong><br>Perform the planned activities to meet the operational and development targets as per delivery schedules.<br>Utilize resources effectively to achieve objectives within efficient cost and time.<br>Provide a periodic report formatted by detailing the deviation and execution of planned tasks.</li> <li><strong>Problem-solving:</strong><br>Solve any related problems that arise and escalate any complex operational issues.</li> <li><strong>Quality:</strong><br>Ensure quality requirements to develop effective quality control and processes including specifications for products or processes or related activities.</li> <li><strong>Business process improvements:</strong><br>Coordinate well-defined written systems, policies, procedures, and seek automation opportunities as much as possible.</li> <li><strong>Compliance:</strong><br>Comply with related policy and procedures and work instructions.</li> <li><strong>Health, safety, and environment:</strong><br>Ensure compliance of relevant safety, quality, and environmental management procedures and controls within defined area of work activity to guarantee safety, legislative compliance, and delivery of high-quality products/services.</li> </ul> <h4>Required technical skills</h4> <ul> <li>Strong proficiency in Autodesk Revit Structure for modeling, detailing, documentation, and schedules.</li> <li>Experience in Structural BIM Coordination with Architecture and MEP models.</li> <li>Good understanding of reinforced concrete and/or steel structural systems.</li> <li>Ability to produce and review structural drawings, details, schedules, and revisions.</li> <li>Experience in model quality control, clash detection, issue tracking, and resolution.</li> <li>Proficiency in Revit Structure, AutoCAD, and Navisworks Manage.</li> <li>Familiarity with BIM 360 / Autodesk Construction Cloud (ACC) or equivalent CDE platforms.</li> <li>Ability to review and close consultant comments and coordination issues.</li> </ul> <h4>Qualification</h4> <p>Bachelor in Civil Engineering</p> <h4>Experience</h4> <p>5 to 10 years</p> <h4>Skills</h4> <ul> <li>Design tools</li> <li>Design specifications</li> <li>Compliance</li> <li>Reporting</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About the Engagement</span><p>FlareTech is building "Context Intelligence," an AI platform centered on a proprietary "process neural net" architecture. Rather than relying on standard NLP or data warehouses, the platform builds model graphs that reverse-engineer data models directly from the business, enabling clients to inject knowledge management indexed to their own goals and strategy. FlareTech has secured a Proof of Concept with a major global enterprise client (hundreds of thousands of employees) and needs to accelerate delivery toward an October 1 POC milestone, with full production deployment targeted for November/December.</p><br><p>This role owns the "Context" domain specifically — context artifacts, ingestion workers, and fine-tuning — while the existing FlareTech team continues building out process automation and the rest of the platform in parallel.</p><br><span>Main Responsibilities</span><ul><li>Own the Context domain end-to-end: context artifacts, ingestion workers, and the fine-tuning pipeline within the Context Intelligence platform.</li><li>Design, implement, and operate production-grade fine-tuning workflows for localized (on-prem / self-hosted) LLMs.</li><li>Build and maintain ingestion workers that structure and feed data into the model graph architecture.</li><li>Support the reverse-engineering of client data models into model graphs, in line with FlareTech’s process-neural-net approach.</li><li>Deploy and manage local LLM hosting to meet enterprise confidentiality requirements, as an alternative to cloud-hosted LLM APIs.</li><li>Engage directly with Darshan (VP of IT) to scope work, set priorities, and integrate deliverables into the critical path for the October 1 POC.</li><li>Coordinate with the existing platform team to ensure the Context domain integrates cleanly with process automation and other platform areas.</li><li>Prepare technical documentation on the process neural net / model graphing architecture to support client technical due diligence.</li><li>Help accelerate the POC timeline, then transition the Context domain into full production for the November/December deployment.</li></ul><span>Required Skills &amp; Experience</span><ul><li>Production experience fine-tuning LLMs — has shipped fine-tuned models into a live product, not only prompt engineering or inference-time RAG.</li><li>Hands-on experience deploying and operating localized / on-prem / self-hosted LLMs (e.g., via vLLM, TGI, Ollama, or comparable serving stacks).</li><li>Strong understanding of Retrieval-Augmented Generation (RAG) architectures, and how fine-tuning and RAG complement each other.</li><li>Experience building data ingestion pipelines — workers that clean, structure, and prepare data for model consumption.</li><li>Familiarity with graph-based or structured knowledge representations (model graphs, knowledge graphs), including reverse-engineering data models from unstructured or semi-structured sources.</li><li>Comfortable operating in a fast-moving, ambiguous R&amp;D environment against a hard external deadline (client POC).</li><li>Strong communication skills — will scope work directly with a client-side VP of IT with minimal intermediary process.</li><li>A security- and confidentiality-first mindset, understanding why enterprise clients require local LLM deployment over cloud APIs.</li></ul><span>Nice to Have</span><ul><li>Experience building no-code or low-code AI/workflow automation platforms.</li><li>Exposure to agentic frameworks or multi-agent systems (useful context, even though this platform favors fine-tuning over complex agent authoring).</li><li>Background in enterprise knowledge management or business process automation.</li><li>Experience with platform/marketplace business models involving third-party extensibility.</li></ul> </div>

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 organization of society and the living environment of citizens all over the world.<br><br>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>EGIS is currently looking for a highly skilled BIM Designer Wet Utilities to help us deliver multi-disciplinary projects. The role is expected to lead the BIM modelling for wet utilities discipline as well help with setup, training and development of automation around Autodesk Revit, ACC and Navisworks with the project BIM manager. <br><br>Responsibilities<br><br>Support the BIM Coordinator and Project Delivery Team(s) in day-to-day BIM implementation activities. Develop 3D/2D dimensional models required for drawing preparation, clash reporting and presentation aligned with the project LOD requirements and modelling standards. Extract 3D models for clash analysis, schedule review and QS. Ensure coordination of all Model interfaces with designers and engineers of other disciplines. Ensure all Models, drawings and deliverables are checked to comply with project and company quality standards and BIM requirements. Prepare the engineering drawings from the model that comprises of basic arrangements, layouts, profiles, sections etc. Develop and extract 2D geometry from the models for internal reviews and coordination meetings. Ensure Project Information Models (PIM’s) are delivered in accordance with the agreed TIDP, MIDP and CDE protocol. Prepare BIM package submissions in accordance with project standards and requirements Conduct clash detection and visual walkthroughs Prepare models and reports for constructability analysis Coordinate work with the lead technical engineer, including taking responsibility for timely completion of deliverables. Automate modelling process, model data management and reporting for BIM delivery<br><br><br>Qualifications<br><br>Bachelor’s Degree or 3 Years Diploma in Engineering from an accredited University. Minimum 5+ years Civil 3D experience within depth working knowledge of current versions Civil 3D;Proficient in CAD design 2D/3D (Auto CAD and Civil 3D). Able to demonstrate (skill assessment) ability to set up new Civil 3D project files for the team; Demonstrate strong problem-solving skills and multitasking ability; Produce Civil 3D content according to project requirements. Expert knowledge of Civil 3D including use of sub-assemblies composer, generation of Bill of Material, assemblies, sub-assemblies, creation of pipe networks, alignment, corridor etc. Proficient in a range of BIM Authoring, Scripting, Design Review, Coordination, Simulations and Collaboration Platforms:Essentials: (Civil 3D, Navisworks, Revizto, ACC, Auto CAD). Knowledge of BIM codes and Standards (ISO19650, PAS1192-2, BS1192). Knowledge of General BIM Model requirements (i.e., LOD, Naming convention, parametric modeling, etc.)<br>Mandatory Skills required:<br><br>Civil 3D Modeling and 3D Model-Based workflows. Advance skills in Civil 3D is a must for this role. Civil 3D Catalogs & Sub-assembly composer Modeling Standards Naming convention Extracting cut sheets Modeling templates British Standards BS/PAS Series (1192) International Organization for Standardization (19650) Common Data Environment Project Information Model Delivery and Digital Delivery methods Quality Assurance Compliance and Validation Collaboration, Coordination and Clash/Clearance Detection Quantity Take Off / Scheduling Asset Information Model Delivery, COBie, O&M and Asset Tagging

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 organization of society and the living environment of citizens all over the world.<br><br>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>EGIS is currently looking for a highly skilled BIM Designer Wet Utilities to help us deliver multi-disciplinary projects. The role is expected to lead the BIM modelling for wet utilities discipline as well help with setup, training and development of automation around Autodesk Revit, ACC and Navisworks with the project BIM manager. <br><br>Responsibilities<br><br>Support the BIM Coordinator and Project Delivery Team(s) in day-to-day BIM implementation activities. Develop 3D/2D dimensional models required for drawing preparation, clash reporting and presentation aligned with the project LOD requirements and modelling standards. Extract 3D models for clash analysis, schedule review and QS. Ensure coordination of all Model interfaces with designers and engineers of other disciplines. Ensure all Models, drawings and deliverables are checked to comply with project and company quality standards and BIM requirements. Prepare the engineering drawings from the model that comprises of basic arrangements, layouts, profiles, sections etc. Develop and extract 2D geometry from the models for internal reviews and coordination meetings. Ensure Project Information Models (PIM’s) are delivered in accordance with the agreed TIDP, MIDP and CDE protocol. Prepare BIM package submissions in accordance with project standards and requirements Conduct clash detection and visual walkthroughs Prepare models and reports for constructability analysis Coordinate work with the lead technical engineer, including taking responsibility for timely completion of deliverables. Automate modelling process, model data management and reporting for BIM delivery<br><br><br>Qualifications<br><br>Bachelor’s Degree or 3 Years Diploma in Engineering from an accredited University. Minimum 5+ years Civil 3D experience within depth working knowledge of current versions Civil 3D;Proficient in CAD design 2D/3D (Auto CAD and Civil 3D). Able to demonstrate (skill assessment) ability to set up new Civil 3D project files for the team; Demonstrate strong problem-solving skills and multitasking ability; Produce Civil 3D content according to project requirements. Expert knowledge of Civil 3D including use of sub-assemblies composer, generation of Bill of Material, assemblies, sub-assemblies, creation of pipe networks, alignment, corridor etc. Proficient in a range of BIM Authoring, Scripting, Design Review, Coordination, Simulations and Collaboration Platforms:Essentials: (Civil 3D, Navisworks, Revizto, ACC, Auto CAD). Knowledge of BIM codes and Standards (ISO19650, PAS1192-2, BS1192). Knowledge of General BIM Model requirements (i.e., LOD, Naming convention, parametric modeling, etc.)<br>Mandatory Skills required:<br><br>Civil 3D Modeling and 3D Model-Based workflows. Advance skills in Civil 3D is a must for this role. Civil 3D Catalogs & Sub-assembly composer Modeling Standards Naming convention Extracting cut sheets Modeling templates British Standards BS/PAS Series (1192) International Organization for Standardization (19650) Common Data Environment Project Information Model Delivery and Digital Delivery methods Quality Assurance Compliance and Validation Collaboration, Coordination and Clash/Clearance Detection Quantity Take Off / Scheduling Asset Information Model Delivery, COBie, O&M and Asset Tagging

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><b>About the Role </b><p>We are looking for a <strong>Director of Software Engineering (Full-Stack)</strong> to lead multidisciplinary engineering, QA, and content teams while overseeing the delivery of enterprise-scale digital platforms powered by Adobe Experience Manager (AEM). The role is responsible for delivery governance, technical leadership, stakeholder management, and ensuring high-quality digital experiences across multiple markets.</p> Key Responsibilities Delivery Leadership &amp; Team Management <ul> <li>Lead, mentor, and manage multidisciplinary teams of Software Engineers, QA Specialists, and CMS Content Authors.</li> <li>Define team structure, capacity planning, and resourcing.</li> <li>Foster a culture of quality, accountability, and continuous professional development.</li> <li>Own delivery governance, including sprint planning, prioritization, risk management, and reporting to client and internal stakeholders.</li> </ul> AEM Content Operations &amp; Editorial Management <ul> <li>Oversee the creation, update, and maintenance of editorial, campaign, and product pages across multiple regional websites.</li> <li>Govern news publishing, content archival, and content hygiene.</li> <li>Manage offers, campaigns, competitions, forms, brochures, galleries, and downloadable assets.</li> <li>Oversee dealer and showroom pages, pricing updates, locations, timings, and vehicle model information.</li> <li>Ensure effective use of AEM native tooling, components, sheet-based management, and eCommerce content.</li> <li>Oversee vehicle landing pages, configurator pages, kiosk pages, and model data authoring.</li> </ul> Digital Asset Management (DAM) <ul> <li>Oversee the upload, organization, and governance of digital assets.</li> <li>Ensure assets are optimized and reusable across markets.</li> <li>Govern brochure and model-year asset lifecycles.</li> </ul> Product Information Management (PIM) <ul> <li>Direct centralized model data management, including model-year updates, specifications, pricing, and product changes.</li> <li>Coordinate model rollouts across regional markets.</li> <li>Enable compare, configurator, and prices &amp; specifications pages using PIM data.</li> <li>Ensure accurate and reusable product data across all markets.</li> </ul> Forms, Lead Management &amp; Feature Enablement <ul> <li>Oversee campaign, lead, feedback, and dealer forms.</li> <li>Prioritize and enable new features based on business requirements.</li> </ul> Digital Services &amp; Web Applications <ul> <li>Own the maintenance and enhancement of in-showroom web applications.</li> <li>Oversee release management, version control, and application updates.</li> <li>Drive feature enhancements and UX improvements.</li> <li>Ensure synchronization between applications, AEM, and PIM.</li> </ul> SEO, Performance &amp; Quality <ul> <li>Oversee SEO implementation and technical monitoring.</li> <li>Ensure performance, accessibility, and quality standards through robust QA processes.</li> </ul> Localization &amp; Market Enablement <ul> <li>Oversee market setup and localization of pages, assets, and product data.</li> <li>Ensure consistent delivery of market-specific content.</li> </ul> Client Engagement &amp; Stakeholder Management <ul> <li>Serve as the senior technical point of contact for client and market stakeholders.</li> <li>Establish training, adoption, and feedback governance.</li> <li>Communicate updates, enhancements, and roadmaps while driving continuous improvement.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><ul> <li>10+ years of experience in digital delivery, web engineering, or technical program management.</li> <li>3+ years in a technical leadership or director-level role.</li> <li>Proven experience delivering enterprise-scale Adobe Experience Manager (AEM) solutions.</li> <li>Experience leading multidisciplinary engineering, QA, and content teams.</li> <li>Strong delivery governance and stakeholder management experience.</li> <li>Experience with DAM and PIM systems.</li> <li>Experience overseeing custom web application maintenance and enhancement.</li> <li>Experience working in Agile/Scrum environments.</li> </ul> <p> </p> Technical Skills Content Management &amp; AEM <ul> <li>Adobe Experience Manager (Sites, Assets, and authoring workflows)</li> <li>AEM native components, templates, and sheet-based content tooling</li> <li>Headless/hybrid content delivery</li> <li>Multi-market content architecture</li> </ul> Digital Asset &amp; Product Information Management <ul> <li>DAM structuring, asset optimization, and reuse strategies</li> <li>PIM-driven product data models</li> </ul> Web Application Development &amp; Support <ul> <li>Modern web application stacks</li> <li>Front-end frameworks</li> <li>API integrations</li> <li>Application performance monitoring</li> <li>Release management</li> </ul> SEO, Performance &amp; Localization <ul> <li>Technical SEO</li> <li>Performance optimization</li> <li>Accessibility standards</li> <li>Internationalization (i18n)</li> <li>Multi-market localization</li> </ul> DevOps &amp; Delivery <ul> <li>CI/CD pipelines</li> <li>Git</li> <li>Agile/Scrum</li> <li>QA processes</li> <li>Test automation</li> <li>Quality governance</li> </ul> <p> </p> Nice to Have <ul> <li>Adobe Experience Manager or Adobe Experience Cloud certifications.</li> <li>Experience in automotive or other multi-brand, multi-market digital sectors.</li> <li>Experience with Azure, AWS, or GCP.</li> <li>Experience with AEM as a Cloud Service.</li> <li>Prior experience within a digital agency or consultancy delivery model.</li> </ul> <p> </p> Soft Skills <ul> <li>Strong leadership and mentoring capabilities.</li> <li>Excellent communication and stakeholder management skills.</li> <li>Strong organizational and prioritization skills.</li> <li>Analytical and problem-solving mindset.</li> <li>Ability to balance technical depth with commercial and client awareness.</li> </ul> <p> </p> Education <p>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field (or equivalent practical experience).</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Talent360 is seeking a highly skilled Senior BIM Architect Engineer to join their team.<br> In this role, you will lead BIM processes, ensure high-quality model delivery, and support project teams in optimizing engineering workflows using advanced BIM methodologies.<br> Key Responsibilities Collaborate with project teams to define BIM objectives, strategies, and execution plans Oversee the development and production of BIM models, ensuring accuracy and completeness Review BIM models to ensure compliance with project standards and specifications Provide technical support and guidance on BIM-related challenges Develop and deliver BIM training programs for internal teams Perform quality control checks on BIM deliverables Coordinate across architectural, structural, and MEP disciplines within BIM models Mentor junior BIM engineers and support their professional development Social and medical insurance Friendly and supportive work environment Learning and development opportunities Exposure to diverse engineering projects and advanced BIM practices Career growth within a well-established engineering company Additional company benefits Bachelor’s degree in Architecture 5–8 years of experience in BIM and architectural engineering Strong hands-on experience with Revit and Navisworks (mandatory) Solid experience in shop drawings across multiple projects Ability to create and manage BIM families Strong understanding of BIM workflows and multi-disciplinary model coordination Excellent attention to detail and quality control skills Ability to work collaboratively within project teams</span> </div>

<p>We Are Hiring! Integrant is looking for game changers to join our team as "Data Scientist - AI &amp; Machine Learning" with below roles and responsibilities:</p><p>Use mathematics, statistics, machine learning, and artificial intelligence techniques to extract knowledge and insights from structured, semi-structured, and unstructured data. Design, develop, evaluate, and deploy predictive and prescriptive machine learning models. Conduct open research and experimentation to develop innovative solutions for complex client challenges. Engage with clients and stakeholders to understand business needs and translate them into AI and Data Science solutions. Design and implement end-to-end Machine Learning and Generative AI solutions. Build and optimize Retrieval-Augmented Generation (RAG) systems and intelligent agent-based applications. Develop scalable model deployment and monitoring solutions using MLOps best practices. Monitor model performance, detect concept drift, and continuously improve deployed systems. Collaborate with software engineering teams to productionize AI applications and ensure reliability, scalability, and maintainability. Mentor and coach junior Data Scientists and Machine Learning Engineers. Lead technical discussions, knowledge transfer sessions, and client-facing AI engagements. Stay current with emerging AI, Machine Learning, MLOps, and Generative AI technologies and frameworks.</p><p><strong>Desired Candidate Profile</strong></p><h2>Education &amp; Experience</h2><ul><li>7+ years of professional experience, including 5+ years in Data Science, Machine Learning &amp; MLOps</li><li>MSc in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative discipline.</li><li>Experience mentoring, coaching, or leading technical team members.</li></ul><h2>Data Science &amp; Machine Learning</h2><ul><li>Strong foundation in Machine Learning techniques including Classification, Regression, Clustering, Association Rule Mining, Feature Engineering, and Model Evaluation.</li><li>Experience with Deep Learning concepts and frameworks.</li><li>Extensive hands-on experience with Python and the Data Science ecosystem.</li><li>Experience with one or more ML frameworks such as Scikit-Learn, TensorFlow, Keras, or PyTorch.</li><li>Experience conducting research, experimentation, and hypothesis-driven analysis.</li></ul><h2>MLOps &amp; Production AI</h2><ul><li>Experience deploying and managing Machine Learning models in production environments.</li><li>Experience monitoring model performance, detecting concept drift, and driving continuous improvements.</li><li>Hands-on experience with MLOps practices, CI/CD pipelines, model versioning, experiment tracking, monitoring, and observability.</li><li>Experience deploying AI/ML solutions on cloud platforms such as Azure, AWS, GCP, or Databricks.</li><li>Experience with ML platforms and services including Azure ML, AWS SageMaker, or Google Vertex AI.</li><li>Familiarity with deployment and serving tools such as MLflow, FastAPI, and Streamlit.</li></ul><h2>Generative AI &amp; Agentic AI</h2><ul><li>Hands-on experience building Retrieval-Augmented Generation (RAG) solutions and semantic search applications.</li><li>Experience working with Vector Databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Search.</li><li>Experience using LLM orchestration frameworks such as LangChain, LangGraph, or similar technologies.</li><li>Experience working with Agentic AI frameworks such as LlamaIndex, CrewAI, AutoGen, or equivalent.</li><li>Experience implementing MCP (Model Context Protocol), tool calling, and function-calling workflows.</li><li>Strong understanding of prompt engineering techniques and LLM optimization.</li><li>Experience evaluating LLM applications using frameworks such as LangSmith, RAGAS, or similar tools.</li><li>Experience with Embeddings, Vector Retrieval, Semantic Search, Fine-Tuning, and LoRA techniques.</li></ul><h2>Cloud &amp; Data Engineering</h2><ul><li>Experience building large-scale data pipelines on Azure, AWS, or GCP.</li><li>Experience with Databricks and Apache Spark.</li><li>Experience with distributed data processing architectures.</li></ul><h2>Nice to Have:</h2><h3>Advanced AI &amp; Data Science</h3><ul><li>Reinforcement Learning (RL)</li><li>Optimization techniques, including single-objective and multi-objective optimization</li><li>Stochastic Local Search methods</li><li>Knowledge Graphs and Graph Machine Learning.</li></ul><h3>Leadership &amp; Consulting</h3><ul><li>Experience leading AI initiatives and technical strategy.</li><li>Experience working directly with international clients and stakeholders.</li><li>Experience defining AI architecture, standards, and best practices across teams.</li></ul>

We’re Hiring: Junior Architect<br>Fashion International Group, representing more than 20 international fashion brands, is looking for a Retail Projects Architect to join the Projects & Maintenance Department.<br>Due to the company’s upcoming expansion and new store openings, the selected candidate will work closely with and support the Project Manager in:• New store fit-out projects• Store maintenance follow-up• Contractors and suppliers coordination• Site progress and project schedules• Reviewing drawings, shop drawings, and BOQs• Technical office documents and reports• Furniture production and installation• Imported fixtures and decorative items• Coordination with malls and international brands• Site visits and quality inspections• Project follow-up from design until handover• Simple 3D tasks when required<br>Requirements:• Bachelor’s degree in Architecture • 1–2 years of relevant experience • Experience in retail fit-out or interior finishing • Good technical office experience • Strong Auto CAD and Microsoft Office skills • Experience in 3D software for occasional simple tasks • Good command of English • Strong communication and follow-up skills • Ability to manage multiple tasks and projects • Retail or shopping mall experience is preferred<br>???? Location: Cairo, Egypt

<p>Our Fashion Consultant is responsible for delivering an outstanding customer experience and driving our business through sales. They demonstrate a strong understanding of the omnichannel aspects of the role, using physical and digital channels to connect with customers anywhere and anytime and deliver a seamless and consistent high level of service. They act as brand ambassadors through their strong knowledge of the brand and their experience in fashion and style.</p><p>Deliver an exceptional customer experience and represent the brand professionally at all times</p><p>Achieve individual and team sales targets while supporting overall store performance</p><p>Build strong relationships with customers to encourage loyalty and repeat business</p><p>Stay updated on fashion trends, new collections, and brand activities</p><p>Promote the brand s online channels, social media campaigns, and loyalty program</p><p>Provide personalized styling advice and product recommendations based on customer needs</p><p>Support omnichannel services, including virtual shopping and client communication</p><p>Handle e-commerce order preparation and fulfillment within set timelines</p><p>Maintain store appearance, product display, and stock replenishment according to brand guidelines</p><p>Use digital tools and systems (CRM, etc.) to enhance customer experience and reporting</p><p><strong>Desired Candidate Profile</strong></p><p>Previous experience in luxury fashion retail</p><p>Passion for fashion, styling, and customer engagement</p><p>Good understanding of sales techniques, including cross-selling and upselling</p><p>Knowledge of fashion products, trends, and luxury retail standards</p>

<p><strong>Technical Requirements:</strong></p><ul><li><p>Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related field</p></li><li><p>4+ years of experience in software engineering, specifically in <strong>ML/AI system development</strong></p></li><li><p><strong>Proven track record of shipping ML models o</strong>r AI features to production</p></li><li><p>Hands-on experience with the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deployment</p></li><li><p>Experience with CI/CD for ML systems and model monitoring/observability</p></li><li><p>Strong SQL skills and experience with large-scale data processing (Spark, Databricks)</p></li><li><p>Strong understanding of data structures, algorithms, and system design</p></li><li><p>Experience with version control (Git), code review practices, and testing methodologies</p></li><li><p>API development experience (REST/GraphQL) for serving models</p></li></ul><p></p><p><strong>Requirements</strong></p><ul><li><p>Experience with MLOps, model evaluation, observability, caching and cost optimization</p></li><li><p>Experience developing scalable SaaS platforms or startup products</p></li><li><p>Knowledge of PyTorch, TensorFlow, LangChain, LlamaIndex or similar frameworks</p></li></ul><p></p>

<p><strong><u>Role summary</u></strong></p><p><br></p><p>The Structural BIM Engineer is responsible for developing accurate 3D concrete structural models and rebar layouts in BIM software and generating coordinated Design drawings, shop drawings and bar bending schedules for reinforced concrete structures. T</p><p><br></p><p>he role ensures that concrete models comply with design intent, codes, and project recommendations and are fully coordinated with other internal departments Arch. PD and MEP models.</p><p><br></p><p><strong><u>Key responsibilities</u></strong></p><p><br></p><ul><li>Create and maintain design and detailed 3D BIM models for structural elements (foundations, columns, beams, slabs, walls, cores, shear walls, stairs, etc.) including all reinforcement (rebar, mesh, couplers, embeds).</li><li>Develop and update concrete element and rebar layouts in the model based on design calculation and sketch from Design team.</li><li>Generate and check rebar shop drawings, sections, details, and bar bending schedules (BBS) directly from the BIM model, ensuring accuracy, clear annotations, and alignment with project standards.</li><li>Coordinate concrete structural models with architectural and MEP models using BIM coordination tools (e.g., Navisworks), perform clash checks, and support clash resolution with the wider design team.</li><li>Collaboration and support work closely with structural engineer to interpret design intent, clarify reinforcement requirements, and incorporate design changes quickly and accurately into the model.</li><li>Support construction teams by providing clear concrete and rebar shop drawings, answering RFIs related to concrete structural, and exporting model data (drawings, quantities, bending schedules) needed for production and construction.</li></ul><p><br></p><p><strong><u>Qualifications and skills:</u></strong></p><p><br></p><ul><li>3-5 Years of experience.</li><li>Bachelor’s degree Civil / Structural Engineering with experience in structural BIM modeling and rebar detailing.</li><li>Strong proficiency in BIM and Revit Structures, with experience generating rebar shop drawings and BBS from models' familiarity with Navisworks is an advantage.</li><li>Good understanding of reinforced concrete design and detailing practices, relevant codes/standards, and strong attention to detail, communication, and coordination skills in a multidisciplinary BIM environment.</li></ul><p><br></p>

<p>Job Title: MLOps Engineer</p><p></p><p><strong>Job Purpose:</strong></p><p>The MLOps Engineer is responsible for designing, implementing, and maintaining scalable machine learning pipelines and environments. The role ensures seamless integration between data science, engineering, and IT operations, optimizing workflows and automating model deployment and monitoring.</p><p></p><p><strong>Key Responsibilities:</strong></p><p>• Environment Management:</p><p>Design, configure, and maintain development, staging, and production environments for machine learning workflows.</p><p>• Machine Learning Platforms:</p><p>Work with platforms such as DataRobot and Databricks to automate model training, deployment, and monitoring.</p><p>• Data Warehousing:</p><p>Integrate and manage data pipelines with DWH solutions including Netezza and DataStage for efficient data extraction, transformation, and loading (ETL).</p><p>• API Development &amp; Integration:</p><p>Develop, deploy, and maintain APIs for model serving and integration with internal/external systems.</p><p>• Containerization:</p><p>Utilize Docker for packaging and deploying machine learning models and related services, ensuring portability and scalability.</p><p>• Automation &amp; CI/CD:</p><p>Implement continuous integration and continuous deployment (CI/CD) pipelines for</p><p>ML workflows.</p><p>• Monitoring &amp; Maintenance:</p><p>Ability to create dashboards &amp; monitor deployed models for performance, drift, and reliability. Implement automated retraining and alerting mechanisms.</p><p>• Collaboration:</p><p>Work closely with data scientists, engineers, and IT teams to streamline processes and ensure best practices in model lifecycle management.</p><p><strong>Requirements</strong></p><p>Required Skills and Qualifications:</p><p>• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.</p><p>• Experience with MLOps tools and platforms (DataRobot, Databricks).</p><p>• Strong proficiency in data warehousing technologies (Netezza, Datastage).</p><p>• Hands-on experience with API development (RESTful APIs).</p><p>• Proficiency in Docker and container orchestration.</p><p>• Familiarity with cloud environments and deployment strategies.</p><p>• Knowledge of CI/CD tools and practices.</p><p>• Excellent problem-solving and communication skills.Preferred Skills:</p><p>• Experience with orchestration tools (e.g., Kubernetes).</p><p>• Familiarity with monitoring tools and frameworks.</p><p>• Understanding of data governance and security best practices.</p><p></p>

???? We’re Hiring: WFM Coordinator Are you an experienced Workforce Management professional ready to take the next step in your career? We’re looking for a WFM Coordinator to join our team! ????<br>???? Work Model: Hybrid???? What We’re Looking For:3+ years of experience in Workforce Management (WFM) Previous experience working as a WFM Lead is a must English level: B2 or above Strong understanding of WFM processes and operations Hands-on experience with NICE IEX or Verint — must-have Strong analytical, communication, and problem-solving skills Ability to coordinate effectively with different stakeholders and teams<br>???? What We Offer:???? Hybrid work model???? Medical insurance???? Social insurance???? Career growth opportunities???? Collaborative and supportive work environment If you’re ready for your next challenge and have the experience we’re looking for, we’d love to hear from you!

Needed about 15+ years of overal experience in development<br>Senior AI Infrastructure Architect, English B1+Project : Designing and building cloud-native, GPU-enabled AI infrastructure and large-scale MLOps platforms to support high-performance AI/ML model deployment and container orchestration.- Design GPU-enabled Kubernetes clusters for scalable AI workloads.- Architect and optimize MLOps pipelines and container orchestration systems.- Configure and manage high-performance cloud environments (GCP/GKE) and AI/ML platform services.- Integrate NVIDIA hardware acceleration tools to optimize model inference and training.<br>Requirements:- Deep expertise in Kubernetes orchestration, containerization, and cloud-native infrastructure design.- Strong hands-on experience in Google Cloud Platform (GCP), specifically Google Kubernetes Engine (GKE) and Vertex AI.- Solid proficiency in MLOps platform development and large-scale AI/ML deployment methodologies.- Deep understanding of the NVIDIA AI ecosystem, including CUDA, Tensor RT, Triton Inference Server, and NVIDIA NIM.

Position: Content Creator Location: Fifth Settlement Golden Square Company: Ordinary Products About UsOrdinary Product is an Egyptian fashion company specializing in premium everyday apparel and essential wardrobe categories. The brand focuses on consistent quality, functional design, and scalable production, delivering products built for longevity and wide market relevance. With a disciplined approach to product development and retail execution, Ordinary Product operates across physical and digital channels, positioning itself as a growing player in the regional fashion and lifestyle market. Job Description: The Social Media & Content Head will lead the social media strategy and content direction for Ordinary Product, a local fashion brand. This role is responsible for developing a content roadmap, ensuring consistent brand storytelling across platforms, and driving measurable engagement and growth through high-quality fashion content. Responsibilities:· Own the brand’s social media strategy and content roadmap across platforms (e.g., Instagram, Tik Tok, Facebook, Pinterest)· Lead content planning for collections, drops, campaigns, and seasonal promotions· Create and/or direct content (reels, stories, posts, captions, scripts, lookbooks, UGC-style content)· Maintain brand voice, visual identity, and consistency across all social channels· Collaborate with designers, photographers, and production teams to ensure timely content for launches· Manage content calendar, approvals, and posting schedules to meet deadlines· Oversee growth initiatives: community management, audience engagement, hashtag/SEO strategy, and creator outreach· Track performance metrics (reach, engagement, saves, CTR, follower growth) and optimize content based on results· Manage budgets and vendors/contractors (photography, editing, influencers, paid boosts if applicable) Qualifications:· Proven experience leading social media/content for a brand (fashion preferred) Strong portfolio demonstrating content strategy + execution (links required)· Excellent writing skills and understanding of brand storytelling· Strong visual sense: composition, lighting, styling, and design awareness· Familiarity with analytics and reporting (Meta Business Suite, Tik Tok analytics, Google Analytics—optional)· Ability to lead a team and manage creators/contractors (if applicable)· Organized and able to manage multiple collection timelines at once How to Apply If you are ready to contribute to our growing team, we would love to hear from you! Please submit your resume and a cover letter to hr@ordinaryproduct.com with the subject line "Content & Social Media"

Rose Kids is Hiring Content Creator (Fashion Retail)<br>Location: Beverly Hills, Sheikh Zayed City<br>Job Type: Full-time | On-site<br><br>About Rose Kids<br>Rose Kids is one of Egypt's leading children's fashion retailers, dedicated to offering stylish, high-quality apparel through an expanding network of stores across the country. We are passionate about delivering exceptional customer experiences while staying ahead of fashion trends and digital innovation.<br><br>About the Role<br>Rose Kids is looking for a talented and creative Content Creator to join our Marketing team. The ideal candidate is passionate about fashion, understands social media trends, and can create engaging visual content that strengthens our brand identity and connects with our audience across digital platforms. The role also involves actively generating fresh content ideas, monitoring trending topics, and applying strong creative thinking to develop innovative concepts that keep the brand always relevant and ahead of the curve.<br><br>Key Responsibilities<br>Create engaging photo and video content for social media platforms. Plan and execute creative content ideas aligned with marketing campaigns. Stay updated on the latest fashion and social media trends. Generate new content ideas, monitor trends, and apply creative thinking to develop innovative concepts. Coordinate content shoots with products, stores, and marketing campaigns. Write compelling captions and assist in content planning. Edit photos and videos for social media and digital marketing. Collaborate with the Marketing team to ensure consistent brand messaging.<br><br>Qualifications & Requirements<br>Bachelor's degree in Marketing, Business Administration, Media, Mass Communication, or a related field. Minimum 2 years of experience in content creation, social media marketing, or digital marketing. Strong understanding of social media platforms, content trends, and audience engagement. Basic photography and videography skills. Proficiency in Canva, Cap Cut, Adobe Creative Suite, or similar editing tools. Excellent creativity, storytelling, and communication skills. Strong attention to detail and aesthetic sense. Ability to manage multiple projects and meet deadlines in a fast-paced environment. Experience in the fashion, retail, or e-commerce industry is a strong advantage.<br><br>Location Requirement<br>Applicants must reside in Giza or 6th of October City, Egypt.<br><br>What We Offer<br>Competitive salary package. Transportation within October City. Medical & Social Insurance. Professional development and continuous learning opportunities. Clear career growth and promotion paths. A dynamic, creative, and collaborative work environment.<br><br>How to Apply<br><br>Please send your CV along with your portfolio or content samples via Whats App to: 01201361226 or Mail: hr@rose-kids.com .