Model Jobs in Egypt

We are looking for an experienced Architectural BIM Manager to join our team in Cairo, Egypt.<br>???? Job Purpose<br>The Architectural BIM Manager will lead and manage the Architectural BIM team while coordinating closely with Structural, MEP, Interior Design, Landscape, Infrastructure, and other disciplines.<br>The ideal candidate should have strong architectural experience combined with advanced BIM coordination and management skills, with hands-on knowledge of LOD 400 modeling and architectural shop drawings.<br>???? Key Responsibilities<br>• Manage and supervise Architectural BIM Coordinators, BIM Engineers, and Modelers.• Lead architectural BIM coordination with Structural, MEP, Interior Design, and other disciplines.• Assign tasks, manage workloads, set deadlines, and monitor team progress.• Develop and maintain BIM workflows, standards, and project requirements.• Review and coordinate Architectural BIM models at LOD 300–400.• Strong practical experience in LOD 400 modeling is required.• Oversee the preparation and review of architectural shop drawings and construction-level BIM models.• Ensure models accurately reflect construction requirements, materials, assemblies, interfaces, and installation details.• Review shop drawings and models for accuracy, completeness, constructability, and coordination.• Conduct and manage clash detection and multidisciplinary coordination.• Identify design conflicts, missing information, and technical issues at an early stage.• Coordinate with Project Managers, Technical Managers, and other Discipline Heads.• Monitor BIM deliverables and ensure submissions meet project schedules and quality standards.• Participate in preparing and updating the BIM Execution Plan (BEP) and BIM responsibility matrix.• Provide technical guidance, mentoring, and support to the architectural BIM team.<br>???? Requirements<br>Education:• Bachelor’s degree in Architecture or equivalent.<br>Experience & Skills:• Proven experience as an Architectural BIM Manager / BIM Coordinator / Senior BIM Architect for 5 years.• Strong architectural design and technical background.• Advanced knowledge of Autodesk Revit.• Strong hands-on experience with LOD 400 BIM modeling.• Excellent knowledge of architectural shop drawings and construction documentation.• Experience coordinating multidisciplinary BIM models.• Strong understanding of BIM standards, workflows, clash detection, and model quality control.• Leadership and team-management skills.• Excellent communication and problem-solving abilities.<br>???? Location: Cairo, Egypt???? Position: Architectural BIM Manager<br>???? To Apply: Send your CV to:maisoncarolellc@gmail.com<br>Know someone who would be a great fit? Tag them or share this post.<br>#Hiring #Architectural BIMManager #BIMManager #BIMArchitect #BIM #LOD400 #Revit #Shop Drawings #Architecture Jobs #BIMJobs #Cairo Jobs #Egypt Jobs #AEC

Company Description BACE DESIGN is a multidisciplinary practice integrating engineering, Building Information Modeling (BIM), and advanced 3D scanning to deliver precise, coordinated design solutions. The firm specializes in design services that span interior fitout, and architectural planning . By combining technical accuracy with creative design, BACE DESIGN supports projects from concept through execution. The team focuses on innovation, collaboration, and high quality delivery across diverse built environment projects.<br><br>Role Description This is a full-time, on-site Senior BIM Architect role based in Alexandria. The Senior BIM Architect will lead the development, coordination, and management of BIM models for architectural and interior fitout projects, ensuring accuracy, consistency, and compliance with project standards. Day to day responsibilities include translating design concepts into detailed BIM models, overseeing 3D scanning integration, producing construction documentation, and collaborating closely with engineers, designers, and project managers. The role involves reviewing and coordinating multidisciplinary models, detecting and resolving clashes, and optimizing workflows to enhance project efficiency. The Senior BIM Architect will also mentor junior team members, contribute to design reviews, and support continuous improvement of BIM standards and processes within the firm.<br><br>Qualifications Strong proficiency in BIM authoring tools (e.g., Revit, Navisworks) and experience managing complex architectural and interior fitout models. Experience with 3D scanning technologies and point cloud integration into BIM workflows for accurate as-built modeling. Solid architectural and engineering understanding, including building systems coordination and technical detailing. Demonstrated ability to lead design documentation, construction drawings, and model-based coordination across disciplines. Experience in interior fitout design and familiarity with furniture layouts, joinery detailing, and space planning. Excellent communication and collaboration skills, with the ability to coordinate with cross-functional project teams on-site. Strong organizational skills, attention to detail, and ability to manage multiple projects and deadlines. Bachelor’s or Master’s degree in Architecture, Engineering, or a related field, with senior-level experience in BIM-focused roles. Experience mentoring or supervising BIM technicians or junior architects, and contributing to BIM standards and best practices. Knowledge of local building codes, regulations, and documentation requirements relevant to projects in Alexandria and the surrounding region.<br><br><br>To Apply:<br>Send your cv and portfolio to : L. Hefny@bace-design.com<br>Subject : SR-BIM26

Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves:<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What this is NOT:<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What we look for:<br><br>8+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard:<br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate<br><br>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation:<br><br>Up to $150/hr equivalent, depending on level and pace. Tasks are estimated at :30 hours each; you set your own schedule.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Position:</b>Technical Lead – AI &amp; Machine Learning<br><br><b>Job Description:</b><span>Position Overview</span><p><span>As the <b>Technical Lead – AI &amp; Machine Learning</b> at Arrow Electronics, you will play a key role in delivering enterprise AI and machine learning solutions across intelligent products and internal automation platforms. Working under the direction of the AI leadership team, you will translate strategic AI initiatives into scalable, production-ready solutions while providing technical leadership to a team of AI engineers and data scientists.</span></p><br><br><p><span>You will lead the implementation of advanced AI systems throughout the complete machine learning lifecycle, including data preparation, model development, experimentation, deployment, monitoring, and continuous optimization. Your expertise will span machine learning, deep learning, neural networks, generative AI, intelligent automation, and large language models.</span></p><br><br><p><span>As the technical lead for project execution, you will collaborate closely with software engineering, product management, and data engineering teams to ensure AI solutions are delivered with high quality, scalability, and business impact while mentoring engineers and promoting engineering best practices.</span></p><br><br><span>Key Responsibilities</span><span>Technical Execution</span><ul><li><span>Lead the technical implementation of AI and machine learning initiatives aligned with the organization's AI strategy and roadmap.</span></li><li><span>Translate product and AI leadership vision into scalable technical solutions.</span></li><li><span>Drive engineering best practices, code quality, documentation, and software design across AI projects.</span></li><li><span>Collaborate with AI leadership, product managers, software engineers, and data engineers to successfully deliver AI-powered products.</span></li></ul><span>Machine Learning &amp; Deep Learning</span><ul><li><span>Design, develop, and optimize machine learning, deep learning, and neural network models for real-world business applications.</span></li><li><span>Build predictive models, recommendation systems, forecasting models, anomaly detection solutions, classification systems, and intelligent automation workflows.</span></li><li><span>Fine-tune transformer models and other deep learning architectures using modern training techniques.</span></li></ul><span>Generative AI &amp; Intelligent Systems</span><ul><li><span>Develop applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, semantic search, embeddings, and prompt engineering.</span></li><li><span>Build intelligent workflows integrating LLMs with enterprise systems, vector databases, and external tools.</span></li><li><span>Evaluate new AI technologies and recommend practical adoption opportunities.</span></li><li><span>Deploy and maintain AI models in production environments.</span></li></ul><span>Production AI &amp; MLOps</span><ul><li><span>Ensure AI systems are reliable, secure, efficient, and maintainable.</span></li></ul><span>Mentorship &amp; Innovation&nbsp;</span><ul><li><span>Mentor AI engineers and junior machine learning engineers through technical guidance, code reviews, and knowledge sharing.</span></li><li><span>Promote engineering excellence, continuous learning, and adoption of modern AI development practices.</span></li><li><span>Support technical interviews and onboarding of new team members.</span></li><li><span>Stay current with emerging developments in artificial intelligence, machine learning, deep learning, and generative AI.</span></li></ul><span>Qualifications</span><ul><li><span>6+ years of experience developing and deploying production AI and machine learning solutions.</span></li><li><span>Demonstrated experience leading the technical implementation of AI/ML projects.</span></li><li><span>Strong proficiency in Python and data science libraries including NumPy, pandas, scikit-learn, and related tools.</span></li><li><span>Strong understanding of statistics, machine learning algorithms, feature engineering, and model evaluation.</span></li><li><span>Strong knowledge of neural networks, transformer architectures, and modern deep learning techniques.</span></li><li><span>Experience building applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and prompt engineering.</span></li><li><span>Experience with NLP, document intelligence, semantic search, embeddings, information extraction, and named entity recognition.</span></li></ul><p><span><b>Preferred Qualifications</b></span></p><br><br><ul><li><span>Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field is preferred.</span></li><li><span>Experience deploying AI services using cloud platforms and modern software engineering practices.</span></li><li><span>Familiarity with vector databases, search technologies, and MLOps practices.</span></li></ul><br><br><b>Location:</b>EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)<br><br><b>Time Type:</b>Full time<br><b>Job Category:</b>Information Technology<br> </div>

<p>Envision Employment Solutions is currently looking for a Senior Gen AI/Agentic AI Full Stack Lead for one of our partners, a leader in the Consulting &amp; Technology Services !</p><p><strong>Objective:</strong> We are seeking an experienced Senior Gen AI/Agentic AI Full Stack Lead to design, develop, and deploy advanced AI solutions using Generative AI, Agentic AI frameworks, Machine Learning, and Full Stack Python development. In this role, you will lead the end-to-end delivery of AI applications, from understanding business requirements and designing scalable solutions to deploying production-ready models. You will work closely with cross-functional teams and leverage cloud platforms such as AWS, Azure, and GCP to deliver innovative, high-quality AI solutions for enterprise clients.</p><p><strong>Responsibilities:</strong></p><ul><li>Collaborate with data engineers, data scientists, and business stakeholders to understand the data and the business problems.</li><li>Proven hands-on Gen AI / Agentic AI and data science with machine learning</li><li>Strong knowledge of Python</li><li>Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI.</li><li>Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure</li><li>Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions.</li><li>Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc.</li><li>Experience with data gathering, data quality, system architecture, coding best practices</li><li>Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search).</li><li>Experience with Lean / Agile development methodologies</li><li>Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field</li><li>Proficient in Python and common machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, etc.</li><li>Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform.</li><li>Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).</li><li>Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.</li><li>Experience in creating Web UI applications, ML models &amp; pipelines, Gen AI and Agentic AI solutions.</li><li>Experience in Agentic AI frameworks like Autogen, Crew AI, Semantic Kernal, Langgraph etc.,</li><li>Strong understanding of LLM fine-tuning, local deployment of open source models</li><li>Proficiency in building RESTful APIs using FastAPI, Flask, or Django.</li><li>Knowledge in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation.</li><li>Experience with perception (e.g. computer vision), time series data (e.g. text analysis)</li><li>Data visualization tools such as Tableau, Query languages such as SQL, Hive</li><li>Good applied statistics skills, such as distributions, statistical testing, regression, etc.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field</li><li>Proficient in Python and common machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, etc.</li><li>Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform.</li><li>Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).</li><li>Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.</li><li>Experience in creating Web UI applications, ML models &amp; pipelines, Gen AI and Agentic AI solutions.</li><li>Experience in Agentic AI frameworks like Autogen, Crew AI, Semantic Kernal, Langgraph etc.,</li><li>Strong understanding of LLM fine-tuning, local deployment of open source models</li><li>Proficiency in building RESTful APIs using FastAPI, Flask, or Django.</li><li>Knowledge in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation.</li><li>Experience with perception (e.g. computer vision), time series data (e.g. text analysis)</li><li>Data visualization tools such as Tableau, Query languages such as SQL, Hive</li><li>Good applied statistics skills, such as distributions, statistical testing, regression, etc.</li></ul>

Company Description Zilzal Clothes Stores is a fashion retail company specializing in clothing and apparel for a wide range of customers. The company focuses on offering stylish, accessible, and quality garments that reflect current trends and everyday needs. Zilzal Clothes Stores values customer experience, visual merchandising, and strong brand presence across physical and digital channels. Team members are encouraged to contribute ideas that enhance the brand’s visibility and strengthen customer loyalty. The company promotes a collaborative work environment where performance and creativity are recognized.<br>Role Description The Digital Marketing Manager (Clothes) is a full-time, on-site role based in Al Maḩallah al Kubrá. This role is responsible for developing and executing digital marketing strategies to increase brand awareness, drive store traffic, and grow online and offline sales. Day-to-day tasks include planning and managing social media campaigns, creating and optimizing digital content, monitoring web analytics, and managing lead generation activities. The Digital Marketing Manager will coordinate marketing calendars, collaborate with store and merchandising teams, and align campaigns with product launches and promotions. The role also involves tracking performance metrics, preparing reports, and recommending improvements to maximize marketing ROI.<br>Qualifications<br> Candidates should possess skills in Digital Marketing and general Marketing strategy. Candidates should possess skills in Social Media Marketing for fashion or retail brands. Candidates should possess skills in Web Analytics and performance measurement tools. Candidates should possess skills in Lead Generation and campaign optimization. Experience in retail or fashion marketing, including content creation for clothing brands, is beneficial. Strong communication, organization, and project management skills are required. Ability to analyze data, interpret trends, and present clear recommendations. Bachelor’s degree in Marketing, Business, Communications, or a related field, or equivalent practical experience. Proficiency with common digital marketing platforms and social media management tools. Comfort working on-site in a fast-paced retail environment in Al Maḩallah al Kubrá.

<strong>Job Description<br><br></strong>The PR Lead is responsible for shaping and protecting WOROOD's public image, building meaningful relationships with media and influencers, and ensuring consistent brand communication across Egypt, KSA, GCC ,USA other priority markets.<br><br><strong>Key Responsibilities<br><br></strong><ul><li> Develop and execute the annual PR and communications strategy in line with brand and business objectives.</li><li> Lead PR campaigns for launches, collections, events, collaborations, and brand announcements.</li><li> Build and maintain relationships with fashion editors, journalists, stylists, influencers, celebrities, and industry partners.</li><li> Manage press releases, media pitches, interview opportunities, press kits, and gifting activities.</li><li> Create and maintain regional media and influencer databases.</li><li> Secure relevant earned-media coverage and monitor the quality and sentiment of brand mentions.</li><li> Lead influencer and celebrity relations, including outreach, negotiation, agreements, deliverables, usage rights, and reporting.</li><li> Manage PR agencies and external suppliers, ensuring clear briefs, timelines, budgets, and deliverables.</li><li> Coordinate guest lists, invitations, press attendance, interviews, and media coverage for brand events and fashion shows.</li><li> Prepare communication plans and official responses during sensitive situations or brand crises.</li><li> Ensure all external communication reflects WOROOD's luxury positioning and tone of voice.</li><li> Collaborate closely with Marketing, social media, Content, E-commerce, Retail, and Customer Care teams.</li><li> Track campaign performance and prepare monthly and post-campaign PR reports.</li><li> Manage the PR budget and ensure spending delivers measurable brand value.</li><li> Stay updated on fashion, luxury, modest-wear, cultural, and media trends.<br><br><br></li></ul><strong>Requirements<br><br></strong><ul><li> Bachelor's degree in Public Relations, Communications, Marketing, Media, or a related field.</li><li> 5–7 years of relevant PR experience, preferably within fashion, luxury, beauty, or lifestyle.</li><li> Proven experience leading campaigns, launches, events, and influencer partnerships.</li><li> Strong media and influencer network in Egypt; GCC experience is a strong advantage.</li><li> Excellent written and verbal communication skills in English and Arabic.</li><li> Strong negotiation, presentation, crisis-management, and relationship-building skills.</li><li> Highly organized and able to manage multiple projects and tight deadlines.</li><li> Strong understanding of paid versus organic content usage, licensing, approvals, and creator rights.</li><li> Comfortable managing budgets, contracts, agencies, and campaign reporting.<br></li></ul>

<p> <em>WE’RE HIRING | MARKETING SPECIALIST</em></p><p></p><p>Job Responsibilities:</p><p>* Develop and implement marketing strategies and campaigns.</p><p>* Manage and coordinate the brand’s social media presence.</p><p>* Create and manage engaging content aligned with the brand identity.</p><p>* Coordinate with content creators, photographers, influencers, and other external partners.</p><p>* Monitor market trends, competitors, and customer behavior.</p><p>* Support promotional campaigns, launches, and seasonal collections.</p><p>* Track campaign performance and prepare regular reports.</p><p>* Contribute creative ideas to increase brand awareness, engagement, and sales.</p><p>* Coordinate with the sales and management teams to ensure consistency across all marketing activities.</p><p></p><p><strong>Requirements</strong></p><p>✅ Requirements:</p><p>* Bachelor’s degree in Marketing, Business Administration, Mass Communication, or a related field.</p><p><em>Previous experience in </em>Marketing, preferably within Fashion / Retail / Clothing brands*.</p><p>* Strong understanding of social media platforms and digital marketing.</p><p>* Excellent communication and organizational skills.</p><p>* Creative mindset with strong attention to detail.</p><p>* Ability to manage multiple tasks and meet deadlines.</p><p>* Good command of English.</p><p>* Proficiency in Microsoft Office.</p><p>⭐ Preferred:</p><p>* Experience working with fashion or lifestyle brands.</p><p>* Experience in influencer marketing and content creation.</p><p>* Basic knowledge of Meta Ads / digital advertising.</p><p>* Strong understanding of fashion trends and brand positioning.</p><p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Connect to your opportunity</p><p>Data requirements gathering and client engagement. Being able to engage with the client to understand their pain points and requirements. Communicate solutions/propositions effectively back to client/team.</p><p>Data analysis and pre-processing Collect and clean large datasets for machine learning projects. Explore data to identify patterns, anomalies, and potential insights. Pre-process data, including feature engineering and normalization.</p><p>Algorithm Development Design, develop, and implement machine learning algorithms. Experience with various machine learning models and techniques. Optimize algorithms for accuracy, efficiency, and scalability.</p><p>Model Training and Evaluation Train machine learning models using collected data. Perform testing to validate models Evaluate model performance using appropriate metrics and techniques. Fine-tune models to improve predictive accuracy.</p><p>Data Visualization Create informative data visualizations to communicate insights effectively Familiarity with visualization libraries like Matplotlib, Seaborn, or data visualization software like Tableau, Power BI.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>You're a Natural Problem Solver: Collaboration is at the core of our culture, and we're seeking someone who excels in teamwork and brings out the best in their colleagues. You'll be a brilliant listener, promoting a culture of innovation and knowledge sharing. At Deloitte, we believe in giving our AI/ML Engineers the autonomy they need to excel while upholding our high standards, integrity, and culture.</p><p>10+ years of experience in data engineering / data science</p><p>Essentials: Technical Expertise: Mastery in AI and ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and libraries. Data proficiency: Proficient in data collection, pre-processing, and analysis. Model Mastery: Proven experience in developing and fine-tuning machine learning models.</p><p>Desirables: Domain Knowledge: Familiarity with deploying ML frameworks in industry Research Enthusiast: A strong interest in staying abreast of the latest AI/ML advancements. Project Leadership: Previous experience leading AI/ML initiatives.</p><p>Diversity is our strength, and we celebrate the individuality of our team members. At Deloitte, we embrace differences and encourage everyone to be their authentic selves. We believe that it's these differences that keep us strong, successful, and diverse. Join us and be a part of a team that values your uniqueness!</p><p></p></section>

Lead MEPI BIM Coordinator<br>???? New Cairo, Egypt????️ Building Services | BIM Coordination???? Full-time<br>Hire Pals is supporting a leading international engineering consultancy in hiring a Lead MEPI BIM Coordinator for its team in New Cairo.<br>We’re looking for an experienced BIM professional who can lead mechanical coordination across complex building projects, ensuring models are accurate, coordinated, constructible and compliant with project BIM standards.<br>What you’ll be doing Develop and implement BIM coordination strategies throughout the project lifecycle. Lead the coordination of mechanical and wider MEPI BIM models. Ensure compliance with BIM Execution Plans, project standards and modelling protocols. Manage clash detection and resolution using Navisworks. Lead multidisciplinary model reviews and coordination meetings. Review models for accuracy, quality and constructability. Develop and oversee mechanical models using Revit. Work with BIM 360, Autodesk Construction Cloud and Auto CAD. Collaborate closely with design, BIM and construction teams. Mentor junior BIM team members and review their work. Promote consistent BIM standards, workflows and continuous improvement. Support the use of Dynamo and other digital tools to improve efficiency.<br>What we’re looking for Bachelor’s degree in Mechanical Engineering. At least 13 years of relevant experience. Strong hands-on experience with Revit and Navisworks. Proven experience leading mechanical or MEPI BIM coordination. Strong knowledge of clash detection, multidisciplinary coordination and model-quality reviews. Experience implementing BIM Execution Plans and modelling standards. Experience with BIM 360, Autodesk Construction Cloud and Auto CAD. Project experience across commercial, residential and healthcare developments. Strong understanding of mechanical Building Services systems. Excellent leadership, communication and problem-solving skills. Ability to coordinate effectively across design and construction teams. Dynamo knowledge is advantageous. GCC or international project experience is preferred.<br>The ideal candidate You are a technically strong BIM leader who can take ownership of complex coordination activities, resolve clashes and maintain high modeling standards across multidisciplinary projects. You combine strong mechanical knowledge with the ability to lead teams, communicate clearly and deliver coordinated, constructible models.

Senior Machine Learning Engineer (Generative AI)<br>About the Role We are looking for a Senior Machine Learning Engineer to support the development of AI-driven solutions within the Global Digital Marketing team of a leading agricultural company. In this role, you will design and implement intelligent applications powered by Generative AI, Large Language Models (LLMs), and AI agents, helping to automate business processes and enhance digital marketing capabilities. You will collaborate with cross-functional teams to build scalable AI solutions, integrate enterprise data sources, and deliver production-ready applications using modern AI frameworks and cloud technologies. This is an exciting opportunity to work on innovative AI initiatives that drive business transformation at a global scale.<br>Project Overview Our customer is a global leader in the agricultural industry, committed to driving innovation through digital transformation and advanced AI technologies. The Global Digital Marketing team is building next-generation AI solutions that improve customer engagement, automate business processes, and enable intelligent decision-making across enterprise platforms. As a Senior Machine Learning Engineer, you will play a key role in designing and delivering enterprise-grade Generative AI applications, intelligent agents, and Retrieval-Augmented Generation (RAG) solutions integrated with large-scale enterprise systems.<br>Key Responsibilities Design, develop, and deploy scalable LLM-based intelligent agents and AI-powered applications. Design conversational AI solutions and contribute to solution architecture. Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search techniques. Integrate Large Language Models with enterprise data sources and APIs. Develop semantic workflows using frameworks such as Lang Chain, Lang Graph, Semantic Kernel, and Copilot Studio. Automate internal business processes using n8n and AI-powered workflows. Collaborate with Dev Ops, backend engineers, product owners, and business stakeholders to deliver production-ready AI solutions. Optimize prompt engineering strategies, model performance, and AI application quality. Contribute to AI deployment best practices, model evaluation, and continuous improvement initiatives. Support the adoption of modern AI development tools and engineering practices.<br>Required Qualifications Education Bachelor's degree in computer science, Artificial Intelligence, Software Engineering, Data Science, or a related technical field. Technical Skills Proven experience developing and deploying Generative AI or LLM-based applications. Strong prompt engineering skills using Large Language Models such as:Open AIAzure Open AIClaude LLaMAExperience with AWS AI services, including:Amazon Bedrock Agent Core Hands-on experience with:Lang Chain Lang Graph Similar LLM orchestration frameworks Strong understanding of:Retrieval-Augmented Generation (RAG) Semantic Search Vector Embeddings Vector Databases Experience designing and consuming REST APIs and microservices. English proficiency at B2 level or higher, with the ability to communicate effectively with international stakeholders. Professional Experience Proven experience delivering production-ready AI and Machine Learning solutions. Experience integrating AI applications with enterprise systems and business workflows. Strong software engineering and problem-solving skills. Experience collaborating within Agile development teams.<br>Nice to Have Experience with n8n workflow automation. Semantic Kernel. Microsoft Copilot Studio. Experience supporting Digital Marketing solutions or Mar Tech platforms. SQL proficiency. Experience using AI-assisted development tools such as:Claude Code Git Hub Copilot Similar AI coding assistants Experience with MLOps or AI deployment pipelines.<br>Why Join Us? Join a global team delivering innovative AI solutions for one of the world's leading agricultural companies. Work with cutting-edge Generative AI technologies, intelligent agents, and enterprise-scale AI platforms. Collaborate with experienced AI engineers, architects, and business stakeholders on impactful digital transformation initiatives. Gain hands-on experience building production-ready AI systems using the latest cloud and LLM technologies. Enjoy excellent opportunities for professional growth while expanding your expertise in Machine Learning, MLOps, and enterprise AI engineering.

We are seeking a highly motivated and experienced AI/ML Developer Level II to join our dynamicteam. In this role, you will be a key contributor to the design, development, and deployment ofsophisticated conversational AI systems, primarily using the RASA framework. Your deepexpertise in Python, coupled with hands-on experience in the Google Cloud Platform (GCP)ecosystem, will be essential for building, scaling, and maintaining robust, enterprise-grade virtualassistants and chatbots. You will move beyond prototyping to take ownership of components,optimize model performance, and ensure the reliability of our AI solutions in production.<br><br>Key Responsibilities:(Must-have) RASA Framework Development: Design, build, and maintain advanced conversational AI agents using the RASA Open Source and/or RASA X/Pro platforms. This includes developing complex dialogue management with stories and rules, configuring the NLU pipeline, and creating custom actions. Model Training & Optimization: Train, evaluate, and fine-tune RASA NLU and dialogue models. Implement strategies for continuous improvement using conversation analytics and user feedback to enhance intent classification, entity recognition, and response quality. Python-Centric Solutioning: Write clean, eƯicient, and well-documented Python code forcustom actions, policies, and integrations. Develop scalable backend services and APIs to connect RASA agents with other business systems. Google Cloud Platform (GCP) Integration & Deployment: Architect, deploy, and manage RASA bots on GCP (using Google Kubernetes Engine - GKE, Pub/Sub for messaging, Cloud Run, or Compute Engine). Utilize GCP services like Vertex AI and Dialogflow CX for complementary use-cases or hybrid architectures, and Cloud Speech-to-Text / Text-to-Speech for voice-enabled bots<br>.<br>Nice-to-have:CI/CD & MLOps: Implement and maintain CI/CD pipelines for automated testing, building, and deployment of RASA models using tools like Git. Champion MLOps best practices for versioning, monitoring, and retraining models. Data Management: Leverage Google Big Query for analyzing conversation logs and deriving insights. Use Cloud Storage for managing training data and model artifact<br>s.<br>Required Qualifications:Education: Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience. Experience: 3+ years of professional experience in AI/ML development, with at least 2 years of hands-on, in-depth experience building and deploying production-level chatbots with the RASA framework. Programming: Strong proficiency in Python, with a solid understanding of software engineering principles, design patterns, and API development. Google Cloud Platform: Proven, hands-on experience with core GCP services, including:Compute: Google Kubernetes Engine (GKE), Cloud Run, or App Engine. AI/ML Services: Practical knowledge of Dialogflow and/or Cloud Natural Language API. Infrastructure: Cloud Storage, Cloud Build, IAM, and VPC networking. Machine Learning Fundamentals: Solid understanding of NLP fundamentals (intent detection, entity extraction, context management) and practical experience with machine learning libraries (e.g., scikit-learn, spa Cy, Transformers). Version Control & Collaboration: High proficiency with Git in a collaborative team environme<br>nt.<br>Soft Skills & Other Requirements:Problem-Solving: Excellent analytical and problem-solving skills with the ability to troubleshoot complex technical issues in distributed systems. Ownership & Initiative: A proactive mindset with the ability to take ownership of projects from conception to deployment and beyond, working with minimal supervision. Communication: Strong verbal and written communication skills. Ability to clearly articulate technical concepts to both technical and non-technical stakeholders. Agile Methodology: Experience working in an Agile/Scrum development process. Team Player: A collaborative attitude, with a willingness to mentor junior developers and share knowledge with the team. Continuous Learning: A passion for staying up-to-date with the rapidly evolving fields of Conversational AI, MLOps, and cloud technolog<br>ies.<br>Preferred Qualifications (Bonus):GCP Professional Machine Learning Engineer or other GCP certifications. Experience with containerization technologies (Docker) and orchestration (Kubernetes). Knowledge of infrastructure-as-code tools like Terra<br>form.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Build the function.<br> Be its first practitioner.<br> Zero models in production.<br> That is the honest starting line, and it is also the offer.<br> DigitalZone has the parts most companies are still fighting for: a unified warehouse, data engineering and analytics teams already running, and behavioural and transaction data from a digital goods business, a ticketing platform and a regulated trading venue.<br> What it does not have is a single model deciding anything.<br> Nothing scores fraud risk, nothing forecasts demand, nothing chooses what a customer sees next.<br> You are the first data science hire.<br> You will build the team, set how it works, and personally be the data scientist for Platform: payments, identity and marketing technology.<br> You report directly to the executive who owns Product and Data, so the distance between your finding and a decision is one conversation.<br> It also means there is nobody to hide behind when a model does not work.<br> The hard part Fraud in a cash-heavy market with agent networks and chargeback exposure does not sit still.<br> Your model will be adversarial from day one, and the threshold you set is a live tradeoff between loss prevented and customers blocked.<br> That call will be yours to make and yours to defend.<br> Identity is the other half.<br> Customer records arrive from several products and a partner login, and resolving them into one trustworthy profile is what makes personalisation, risk scoring and half the company's roadmap possible.<br> Nobody has done it yet.<br> What you'll do Build the function from one person to a team: charter, hiring, and the standard for how a model is specified, validated, shipped, monitored and retired.<br> Own fraud detection as a product: transaction and payment risk scoring, chargeback and refund abuse, account takeover, promo abuse, agent and merchant anomaly detection.<br> Set the thresholds with fraud and operations, and defend the loss-versus-friction tradeoff.<br> Own the modelling side of identity management: identity resolution and record linkage across sources, deduplication and match confidence, profile completeness scoring, and the unified customer profile that both personalisation and risk read from.<br> Drive the next-best-action and segmentation layer behind personalised customer communication.<br> Get models into production and keep them there, with the cloud team on serving and MLOps: monitoring, drift, retraining, rollback, and one measurable business outcome per model you are willing to be judged on.<br> Own the planning models: demand and stock forecasting, predictive budget, category and SKU level targets, churn and lifetime value.<br> Own experiment design across product and marketing: hypothesis, minimum detectable effect, decision rule, and honest readouts including the null ones.<br> Agree the boundary with data engineering and analytics.<br> It is not settled today.<br> Settling it is part of the job.<br> Bring stakeholders a decision, not a notebook.<br> Definitions come from the company metric contract, and an unvalidated figure does not become a fact by appearing in a deck.<br> Immediate, large-scale impact on a high-growth business Top-of-the-market compensation packages Work alongside top regional talent, with team members from Talabat, Careem, Etisalat, and more What you'll bring 7+ years in data science, 2+ leading or mentoring scientists.<br> Having been the first or second scientist somewhere counts double.<br> Models in production with a measured business outcome.<br> Hard requirement: live traffic, monitored, effect quantified.<br> A portfolio of notebooks is not this.<br> Fraud or risk modelling depth, plus at least one of: identity resolution and entity matching, forecasting, churn and lifetime value, personalisation, uplift modelling, causal inference.<br> Strong SQL against large transaction and event data in a columnar warehouse, strong Python, and code someone else can run next quarter.<br> Experimental and causal rigour, including quasi-experimental methods where randomisation is not possible.<br> Consumer fintech or payments fluency: transactions, funnels, cohorts, fraud patterns.<br> The ability to align product, engineering, marketing and commercial on one problem definition before any modelling starts.<br> AI-assisted working, with the rule that you never ship output you cannot explain.<br> Nice to have Built a data science function from zero, including the first hires and the first deployment path.<br> Fraud or payment risk in a market with cash-heavy behaviour, chargeback exposure or agent networks.<br> Identity graph, KYC or customer data platform experience.<br> MENA or emerging-market consumer data, with the data quality reality that comes with it.<br> Arabic. What we will not pretend There is no team yet, no serving infrastructure you can lean on, and no data science rubric to hide behind.<br> The first six months are you, a warehouse and a lot of stakeholder conversations.<br> What you get in return is a blank page at a company that has already decided models matter, and the rare chance to be judged on outcomes you defined yourself.<br> If you want to join a mature data science org, this is the wrong role.<br> If you want to be the reason one exists, apply.<br></span> </div>

About Jawda Jawda is a women's modest fashion brand based in London. Our name comes from the Arabic word for quality and excellence. And that's not just branding. It's our operating principle. We're fully vertically integrated: we own our own factory, so every piece is produced in-house from natural fibres like cotton and linen, designed to last, and priced fairly.<br>We're a global team of 50+ selling primarily across the UK, US, Canada and Australia, with a growing European presence. Meta paid social is our main growth engine, and we move fast, test constantly, and take creative seriously, which is where you would come in.<br>The Role You'll own the creative engine behind our Meta advertising: planning the angles we test, producing the ads themselves, and tracking what the numbers tell us. This is a hands-on hybrid role. Part strategist, part creator, part analyst. You'll work directly with a founder, who handles overall campaign architecture and deeper performance analysis, while you drive the creative pipeline that keeps our ads fresh and our audiences growing.<br>This is not a role where you'll be handed briefs and asked to execute. You'll be expected to generate hypotheses, argue for angles, learn from losses, and build on winners.<br><br>What You'll DoPlan creative angles and experiments. Develop new creative angles mapped to distinct customer personas and motivations. Produce the creatives. Edit video ads, design statics, and write the copy that goes with them. You'll be producing multiple new assets per week across several concepts, working from raw content, UGC, and product photography. Write performance copy. Scroll-stopping hooks, persuasive primary text, and headlines that fit our tone. Track and report key metrics. Monitor cost-per-checkout, CPA, ROAS, thumbstop and hook rates, and frequency. Flag when a creative is fatiguing, when a test has a winner, and when something in the account looks off. Feed the learning loop. Maintain a record of what's been tested, what won, what lost, and why.<br><br>What We're Looking For Minimum 1 year of hands-on Meta media buying experience. You've managed real budgets in Ads Manager. e Commerce experience required; fashion strongly preferred. Creative production skills. You can edit short-form video (Cap Cut, Premiere, or similar) and design statics (Figma, Canva, or Photoshop) to a standard fit for a premium brand. Copywriting ability in fluent English. You know the difference between a hook and a headline, and your writing is clean, persuasive, and detail-perfect. Data literacy. You can read performance data, spot trends, and explain why an ad worked, not just report that it did.<br>Strongly Preferred Genuine understanding of modest fashion and the customers who wear it Experience with UGC-style and founder-led creative formats Familiarity with creative analytics tools (e.g. Motion, Foreplay)

<p></p><ul><li><p>Develop designs based on ideas provided by the OTNA team and create original design concepts independently.</p></li><li><p>Take designs from the initial concept through to the final production stage.</p></li><li><p>Create detailed specification packages, including measurements, specifications, Bill of Materials (BOM), and design mockups.</p></li><li><p>Work with factories to communicate designs and technical requirements clearly.</p></li><li><p>Follow up on the sample development process, review samples, and provide comments and adjustments until the final design is approved.</p></li><li><p>Support the factory with accurate US sizing and measurement specifications.</p></li><li><p>Review fit and sizing test results and recommend any required adjustments.</p></li><li><p>Research fashion trends, fabrics, silhouettes, and new design ideas relevant to OTNA.</p></li></ul><p>Location: Egypt<br>Employment Type: Full-time - Remotely</p><p></p><p><strong>Requirements</strong></p><ul><li><p>0–5 years of experience in Fashion Design, Apparel Design, or a related field.</p></li><li><p>Strong understanding of garment construction, fabrics, measurements, and fit.</p></li><li><p>Ability to turn ideas into practical, production-ready designs.</p></li><li><p>Understanding of technical specifications and BOMs.</p></li><li><p>Good understanding of the garment sampling and production process.</p></li><li><p>Knowledge of US sizing is a plus.</p></li><li><p>Creative, organized, detail-oriented, and comfortable working in a growing startup environment.</p></li><li><p>Good communication skills and ability to work with manufacturers.</p></li><li><p>A portfolio of previous fashion/apparel work is required.</p></li></ul><p><br></p><p></p>

<p>Responsibilities Gather and analyze business requirements and convert them into Power Platform solutions. Design, develop, and maintain Canvas Apps and Model-Driven Apps. Develop application logic, validations, and user experiences using Power Fx. Design and implement automated workflows using Power Automate. Configure and manage Microsoft Dataverse data structures. Integrate solutions with Microsoft 365, SharePoint, SQL databases, APIs, and other enterprise systems. Implement security roles, permissions, and governance standards. Perform testing, troubleshooting, optimization, and deployment of applications. Collaborate with stakeholders and technical teams while maintaining proper technical documentation.</p><p><strong>Desired Candidate Profile</strong></p><p>Qualifications Hands-on experience with Microsoft Power Apps (Canvas and/or Model-Driven Apps). Strong experience with Power Automate. Experience with Microsoft Dataverse and Power Platform data modelling. Good knowledge of Power Fx. Experience integrating Power Platform solutions with Microsoft 365, SharePoint, SQL, APIs, and other data sources. Understanding of connectors, security roles, permissions, environments, and Solutions. Knowledge of application lifecycle management (ALM) within Power Platform. Strong analytical, problem-solving, and communication skills.</p>

<p><em>Own BIM standards at the project level — model setup, federation, coordination, and quality across disciplines.</em></p><p><strong>Responsibilities</strong></p><p>●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Set up, maintain, and audit Revit models per the company's BIM Execution Plan</p><p>●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Run model federation, clash detection, and coordination reporting in Navisworks</p><p>●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support teams on Revit troubleshooting, family management, and modeling best practice</p><p>●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Coordinate with structural/MEP BIM modelers to resolve spatial conflicts</p><p></p><p><strong>Requirements</strong></p><p><strong>Requirements</strong></p><p>●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8+ years in architectural design, with 4–5+ years focused on BIM coordination in a consulting firm; Bachelor's in Architecture</p><p>●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong grasp of BIM workflows, LOD requirements, and BIM 360/ACC collaboration</p><p>●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Advanced Revit and Navisworks Manage; Dynamo scripting or BIM certification a plus</p><p></p>

<p><strong>Company Description</strong></p><p>Go Native is a leading hub for local fashion brands in Egypt, showcasing homegrown creativity in a curated, trend-focused retail environment. The company connects emerging and established designers with customers seeking distinctive, contemporary styles. Go Native emphasizes a high-quality in-store experience that highlights local talent and fashion innovation. Team members contribute to a dynamic retail space that supports the growth of Egyptian designers while offering customers a unique shopping destination in Cairo.</p><p><strong>Role Description</strong></p><p>The Store Manager is responsible for leading all aspects of store operations, team performance, and customer experience. This role ensures the store reflects the brand’s values and standards while driving sales and fostering strong relationships with local brand partners. The Store Manager also collaborates with cross-functional teams to execute marketing initiatives and operational improvements.&nbsp;</p><p><strong>Key Responsibilities</strong></p><ul><li>Lead, coach, and motivate the store team to deliver exceptional customer service and sales performance. </li><li>Oversee all store operations including visual merchandising, inventory control, cashiering, and store presentation. </li><li>Maintain strong relationships with local brand partners, ensuring their collections are well-represented and aligned with our store’s standards. </li><li>Monitor store KPIs and implement action plans to achieve sales, foot traffic, and customer engagement goals. </li><li>Ensure high standards in cleanliness, product display, and in-store experiences that reflect the creativity and quality of our brand partners. </li><li>Handle customer feedback, escalations, and ensure timely resolution in line with brand values. </li><li>Coordinate with marketing and operations teams for product launches, promotions, and events. </li><li>Support recruitment, onboarding, and development of store staff.&nbsp;</li></ul><p><strong>Minimum Requirements</strong></p><p><strong>Education:</strong> </p><p>Bachelor’s degree in business, or a related field .</p><p><strong>Experience:</strong></p><p>10 years of experience in sales, with 3-5 in store management, preferably in fashion or lifestyle sectors.&nbsp;</p><p><strong>Soft Skills: </strong></p><ul><li>Team management. </li><li>Communication skills.</li><li>Negotiation skills.</li><li>Problem-solving and Decision-making.</li><li>Team collaboration .</li></ul><p><strong>Technical Skills:</strong> </p><ul><li>Fashion sales skills.</li><li>Store management (people, &amp; Operations) </li><li>Knowledge of visual merchandising </li><li>Familiarity with store POS systems and basic inventory management tools .</li></ul><p><strong>Language Skills</strong></p><p> Good in English Language (spoken and written).</p><p><strong>Other Requirements</strong></p><p> Ability to work dependently in the store, and collaboratively with other departments.&nbsp;</p><p><strong>Core Competencies:</strong> </p><ul><li>Leadership &amp; Team Development </li><li>Store Operations Management </li><li>Customer Experience &amp; Service Excellence </li><li>Sales &amp; Performance Management </li><li>Brand &amp; Visual Merchandising Alignment&nbsp;.</li></ul><p><br></p><p><br></p>

TOPTATO is a leading Saudi fashion brand founded by designer Nafisah Alkaff, known for its distinctive approach to contemporary fashion, blending modern design with refined oriental elegance.<br>TOPTATO is now expanding in Egypt, and we’re looking for a Brand & Marketing Manager to lead our brand growth and marketing operations in the Egyptian market.<br>We’re looking for someone who combines brand thinking, creativity, e-commerce and performance marketing — and most importantly, knows how to turn ideas into execution and results.<br>Key Responsibilities:<br>• Lead Top Tato’s marketing strategy and growth in Egypt.• Plan and execute marketing campaigns and launch activities.• Develop the content strategy across Facebook, Instagram, Tik Tok and other relevant channels.• Manage content production, shoots, UGC and creators.• Build and manage influencer collaborations.• Coordinate and evaluate performance campaigns across Meta, Tik Tok and Google.• Monitor key e-commerce metrics including ROAS, CAC, conversion rate and AOV.• Identify winning products, content and campaigns based on data.• Manage agencies, freelancers and external partners when required.• Ensure Top Tato’s brand identity is maintained while adapting communication to the Egyptian market.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>About Thndr</strong><p>Thndr is Egypt's leading digital retail investment platform and the country's first investment supermarket. We were ranked the number one fastest growing company in Africa in the 2026 Statista and Financial Times ranking, the first Egyptian company to top the list, and we're the number one brokerage in Egypt, with close to 6 million downloads and more than US$1 billion in customer assets. We were admitted as the first ever remote trading member of the Abu Dhabi Securities Exchange, have received in-principle approval from the Saudi Capital Market Authority, and are backed by some of the most prominent global and regional venture capital investors.</p><br><strong>About The Role</strong><p>We're building a Finance function capable of supporting Egypt's Home for Deposits and the MENA region's Home for Active Trading. You'll help build our FP&amp;A capability from the ground up: the group model, the budget and reforecast cycle, monthly performance reporting, and the unit economics the leadership team runs the business on. Alongside that sits Strategic Finance — being the finance partner on decisions. Pricing and revenue model design, new product and market business cases, partnership economics, capital allocation, and corporate development. Wherever a decision hinges on a number nobody has built yet, that's your work. You'll also own investor and board reporting and support our fundraising, which means the numbers you build don't just inform internal decisions — they're what our investors and board see.</p><br><p>You'll also play a key supporting role in building our Investment Banking 2.0. Egypt's productive economy is far larger than its investable economy, and a great deal of real economic activity has no route to public or retail capital. We're building the capability to change that: originating retail-first investment products, and advising the businesses traditional capital markets underserve, including startups and SMEs. Think of it as investment banking pointed at underserved segments. You'll be part of building that from scratch — structuring, modelling, underwriting analysis and advisory work.</p><br><p>You'll report to the Group Head of Finance and the Head of Investment Banking, and work directly with the founders, the board and our investors. Both functions are being built from the ground up, and you'll be central to getting them there.</p><br><strong>What You'll Do</strong><p><strong>FP&amp;A</strong></p><br><ul><li><p>Own and build the group business plan and strategic financial plan as the single source of truth for planning, board and investor reporting, and fundraising</p><br></li><li><p>Establish and run the annual budget and quarterly reforecast cycle with business and functional leads</p><br></li><li><p>Produce monthly performance reporting: actuals versus budget and forecast, variance analysis, and a clear read on what's driving the business</p><br></li><li><p>Build visibility on unit economics, revenue drivers and cost drivers — acquisition cost, revenue per funded account, contribution margin by product and market — and turn it into a framework the business runs on</p><br></li><li><p>Own cash, runway and scenario forecasting, flagging inflection points before they arrive</p><br></li></ul><p><strong>Strategic Finance</strong></p><br><ul><li><p>Build the financial case behind pricing and revenue model decisions, including commission structures, fee design and partnership economics</p><br></li><li><p>Model new product and new market business cases, including the financials behind regulatory applications</p><br></li><li><p>Support corporate development: opportunity screening, valuation, structuring and diligence</p><br></li><li><p>Run capital allocation analysis and support prioritisation decisions across the business</p><br></li><li><p>Build visibility on the cost base and identify where spend can be optimised without slowing the business down</p><br></li></ul><p><strong>Investor Relations</strong></p><br><ul><li><p>Own investor reporting: the monthly and quarterly updates, KPI packs and metrics our investors receive, delivered on a reliable cadence</p><br></li><li><p>Own board reporting — the board pack, the supporting analysis, and the numbers behind every discussion in the room</p><br></li><li><p>Support fundraising end to end: the model, the data room, diligence responses, and investor-facing materials</p><br></li><li><p>Be a point of contact for investor questions and ad-hoc information requests, and turn them around fast</p><br></li><li><p>Maintain the cap table and track shareholder and reporting obligations</p><br></li></ul><p><strong>Investment Banking</strong></p><br><ul><li><p>Support the origination of new investment products: structuring, financial modelling, underwriting analysis and risk assessment</p><br></li><li><p>Build valuation and transaction models for prospective issuers and portfolio opportunities</p><br></li><li><p>Support advisory mandates for startups, SMEs and other businesses preparing to access capital</p><br></li><li><p>Prepare investment memos, committee papers and client-facing materials</p><br></li><li><p>Contribute to the investment framework, governance and risk limits as the function is stood up</p><br></li></ul><strong>What You’ll Need</strong><ul><li><p>3–5 years in investment banking, analyst 3 through associate level — time in a genuine deal environment is the core requirement</p><br></li><li><p>Exceptional financial modelling skills</p><br></li><li><p>Command of valuation across methodologies, and the judgement to know which one the situation calls for</p><br></li><li><p>Strong three-statement fundamentals and the ability to build fully linked operating models</p><br></li><li><p>Experience running or supporting live transactions end to end</p><br></li><li><p>Track record producing IC memos, pitch materials, IMs, board packs or equivalent to institutional standard</p><br></li><li><p>Strong educational and academic background; CFA a strong plus</p><br></li></ul><p><strong>Nice to have</strong></p><br><ul><li><p>Structuring or origination experience — real estate, private placements, debt, securitisation, or equity capital markets</p><br></li><li><p>ECM or IPO execution experience, including regulatory documentation and prospectus work</p><br></li><li><p>Fintech, brokerage or asset management experience</p><br></li><li><p>Egyptian or MENA capital markets experience</p><br></li><li><p>Regional exposure — experience across GCC or wider MENA markets, or on cross-border transactions</p><br></li><li><p>SME or startup advisory exposure</p><br></li><li><p>CFA charterholder or candidate</p><br></li></ul> </div>