Model Jobs in Egypt

Role Overview<br><br>We are looking for a Mid-Level AI Engineer with hands-on experience in Natural Language Processing, LLM-based applications, RAG, and speech/voice technologies. The engineer will help design, build, evaluate, and deploy AI-powered solutions for education, automation, content operations, and user engagement.<br><br>This role is important for the Fahem roadmap and the wider AI layer across the eyouth learning journey,<br><br>including in-course tutoring, transcription, quiz generation, Arabic AI capabilities, and trainer evaluation.<br><br>Key Responsibilities<br><br> Design and develop AI applications using LLMs, NLP techniques, and production-ready Python services. Build conversational AI systems, chatbots, AI assistants, and education-focused copilots. Develop and optimize voice AI pipelines, including Speech-to-Text, Text-to-Speech, and voice interaction<br><br>flows.<br><br> Implement Retrieval-Augmented Generation (RAG) architectures using embeddings, vector databases,<br><br>and approved knowledge sources.<br><br> Fine-tune, evaluate, and monitor language models for production use cases where appropriate. Build REST APIs and scalable backend services for AI-powered features. Integrate Open AI APIs, Hugging Face models, Lang Chain/Llama Index, and other AI services. Work on Arabic NLP use cases, including Arabic content understanding, dialect handling, and learner<br><br>support.<br><br> Collaborate with product, backend, frontend, data, and training teams to deliver AI-driven features. Monitor AI quality, latency, cost, hallucination risk, and reliability in production.<br><br>Requirements And Qualifications<br><br> 2-3 years of hands-on experience in AI, ML, NLP, or LLM application development. Strong Python experience and ability to build clean, maintainable services. Hands-on experience with NLP and LLM frameworks. Knowledge of Arabic NLP and Arabic language use cases. Experience with Open AI APIs, Lang Chain or Llama Index, and Hugging Face Transformers. Good understanding of prompt engineering, RAG systems, embeddings, and retrieval evaluation. Experience with vector databases such as Pinecone, Weaviate, Chroma DB, or similar. Familiarity with REST APIs, backend development, and Git-based collaboration. Practical experience with Voice AI, including STT, TTS, or voice interaction workflows. Experience deploying AI systems on AWS, Azure, or GCP. Experience fine-tuning or evaluating open-source LLMs. Experience with AI observability, model evaluation, guardrails, and cost optimization. Experience in EdTech, learning platforms, tutoring systems, or Arabic content products.<br><br>If you meet the above requirements and are looking for a challenging and rewarding opportunity to join our team, please submit your resume to (careers@eyouthlearning.com) & mention the job title in the subject

<p>CIZARO is looking for a creative and detail-oriented <strong>Graphic Designer</strong> to join our marketing team on a full-time basis.</p><p>The Graphic Designer will be responsible for creating high-quality visual content for CIZARO’s digital platforms, advertising campaigns, stores, website, and marketing materials.</p><p>The ideal candidate should have experience creating commercial designs for fashion, retail, e-commerce, or consumer brands and should understand how to create designs that are visually attractive while supporting sales and marketing objectives.</p><h2>Key Responsibilities</h2><ul><li><p>Create social media designs for Facebook, Instagram, TikTok, LinkedIn, and other digital platforms.</p></li><li><p>Design advertising creatives for Meta, Google, and other paid media campaigns.</p></li><li><p>Develop campaign key visuals for product launches, promotions, seasonal campaigns, and store openings.</p></li><li><p>Create website banners, app banners, landing-page graphics, and e-commerce visuals.</p></li><li><p>Design in-store materials, including posters, price cards, window displays, signage, and promotional materials.</p></li><li><p>Prepare print-ready files according to the required sizes and production specifications.</p></li><li><p>Adapt campaign designs into different sizes and formats for digital and offline channels.</p></li><li><p>Work closely with the marketing, content, media buying, e-commerce, and retail operations teams.</p></li><li><p>Follow CIZARO’s brand identity and maintain consistency across all designs.</p></li><li><p>Suggest creative ideas and visual directions for campaigns and content.</p></li><li><p>Edit and retouch product and model images when required.</p></li><li><p>Organise design files, project folders, fonts, templates, and final exports.</p></li><li><p>Deliver designs according to the agreed deadlines and content calendar.</p></li><li><p>Make revisions based on feedback from the marketing team.</p></li><li><p>Follow current fashion, retail, advertising, and social media design trends.</p></li><li><p>Use AI design and image-generation tools when relevant to improve productivity and creative output.</p></li></ul><p></p><p><strong>Requirements</strong></p><ul><li><p>Minimum 2 years of professional graphic design experience.</p></li><li><p>A strong and updated portfolio is mandatory.</p></li><li><p>Previous experience with fashion, retail, e-commerce, advertising agencies, or consumer brands is strongly preferred.</p></li><li><p>Strong proficiency in Adobe Photoshop and Adobe Illustrator.</p></li><li><p>Good understanding of typography, composition, colour, layout, and visual hierarchy.</p></li><li><p>Experience designing social media content and paid advertising creatives.</p></li><li><p>Experience preparing files for both digital use and printing.</p></li><li><p>Ability to follow an existing brand identity and maintain visual consistency.</p></li><li><p>Ability to handle multiple tasks and meet deadlines.</p></li><li><p>Strong attention to detail.</p></li><li><p>Ability to receive feedback and apply revisions professionally.</p></li><li><p>Good communication and teamwork skills.</p></li><li><p>Basic knowledge of Adobe After Effects, Premiere Pro, or motion graphics is a plus.</p></li><li><p>Experience using AI creative tools is a plus.</p></li><li><p>Photography, image retouching, or video-editing skills are a plus.</p></li><li><p>Applicants must be available for full-time, on-site work.</p></li></ul><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>Proudly recognized as a Great Place to Work®, we are an AI-native customer experience platform purpose-built for emerging markets. With more than 25 years of conversational AI research and development, we serve over 5,000 enterprises across MENA and are pioneering sovereign, agentic AI through our Agentic Studio platform. As the category takes shape, the way Unifonic is perceived — by buyers, analysts, media, and the broader market — is a strategic asset. This role owns that perception.</span></p><br><p><span>We thrive on creativity, collaboration, and fun, where every idea is welcomed and celebrated. As shareholders in the company, we’re more than just communicators—we’re innovators shaping the future together. We are Unifones. Join us and be part of something extraordinary!</span></p><br><p><strong>Meet the team!</strong></p><br><p>Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic’s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.</p><br><p><span>As an AI Engineering Manager, you will lead the team behind Unifonic's marketing and personalization AI, building the intelligence that determines who to engage, through which channel, at what time, and with what message. You will own the development and delivery of AI capabilities spanning audience segmentation, propensity and churn prediction, next-best-action and channel recommendations, send-time optimization, campaign optimization, and generative AI for personalized content. These systems directly drive conversion, engagement, and customer retention for the brands we serve.</span></p><br><p><span>This is a hands-on leadership role that combines people management with technical ownership. You will lead, mentor, and grow a team of talented AI engineers while actively contributing to architecture, technical design, code reviews, performance optimization, and proof-of-concept development. You will ensure the team delivers scalable, production-grade AI solutions, foster engineering excellence, and cultivate a culture of collaboration, innovation, and continuous learning.</span></p><br><p><strong>Help us shape the future of communications by:</strong></p><br><ul><li><p><span>Serving as the technical owner on AI model design, architecture, and integration for marketing and personalization use cases across the Unifonic product ecosystem.</span></p><br></li></ul><ul><li><p><span>Owning the technical roadmap for personalization AI, recommendation and next-best-action engines, customer segmentation and propensity models, campaign and send-time optimization, and generative AI for content personalization.</span></p><br></li></ul><ul><li><p><span>Leading the evaluation, selection, and implementation of AI/ML frameworks, tools, and best practices, ensuring scalability, robustness, and maintainability.</span></p><br></li></ul><ul><li><p><span>Participating in hands-on coding, solution prototyping, and code reviews to maintain high-quality standards and guide the team through complex technical challenges.</span></p><br></li></ul><ul><li><p><span>Overseeing and refining the AI development lifecycle, including model training, validation, deployment, experimentation (A/B and uplift testing), and ongoing improvement.</span></p><br></li></ul><ul><li><p><span>Leading a team of AI engineers, providing mentorship, regular feedback, and career development support.</span></p><br></li></ul><ul><li><p><span>Defining clear performance expectations, conducting performance reviews, and identifying growth opportunities for team members.</span></p><br></li></ul><ul><li><p><span>Fostering a positive, inclusive, and high-performance team culture that encourages innovation, continuous learning, and collaboration.</span></p><br></li></ul><ul><li><p><span>Collaborating with recruitment and HR to identify, attract, and retain top AI engineering talent, ensuring the team’s ongoing growth and success.</span></p><br></li></ul><ul><li><p><span>Working closely with the Director of AI Development, Product Managers, Designers, Data Scientists, and other Engineering leaders to translate business requirements into technical roadmaps and actionable engineering plans.</span></p><br></li></ul><ul><li><p><span>Ensuring seamless integration of AI capabilities into existing and future products, partnering with platform, infrastructure, and DevOps teams to optimize deployment and operations.</span></p><br></li></ul><ul><li><p><span>Communicating technical topics effectively to non-technical stakeholders, making recommendations and reporting progress, risks, and opportunities.</span></p><br></li></ul><ul><li><p><span>Implementing and continuously improving the development processes, standards, and tools that drive efficiency, reliability, and scalability.</span></p><br></li></ul><ul><li><p><span>Ensuring adherence to best practices in model governance, performance monitoring, and compliance with relevant data privacy and security regulations, including regional data residency requirements.</span></p><br></li></ul><ul><li><p><span>Monitoring engineering metrics and KPIs, leveraging data-driven insights to improve development velocity, code quality, and team efficiency and connecting model performance to marketing outcomes such as conversion, engagement, and retention.</span></p><br></li></ul><br><p><strong>What you will bring:</strong></p><br><ul><li><p>Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.</p><br></li></ul><ul><li><p>8+ years of software development experience with at least 3 years focused on AI/ML engineering and related technologies.</p><br></li></ul><ul><li><p>Demonstrated experience building and shipping marketing or personalization AI in production recommendation systems, customer segmentation, propensity/churn/LTV modeling, real-time decisioning, or campaign optimization with measurable impact on business KPIs.</p><br></li></ul><ul><li><p>Proven track record of leading, mentoring, or managing engineering teams, preferably in high-growth or innovative tech environments.</p><br></li></ul><ul><li><p>Hands-on experience with a range of AI/ML frameworks (e.g., TensorFlow, PyTorch), advanced modeling techniques (NLP, LLMs and generative AI, recommendation and ranking systems), and production-grade model deployments.</p><br></li></ul><ul><li><p>Solid grounding in experimentation and measurement, A/B testing, uplift modeling, and evaluating model impact on conversion, engagement, retention, and ROAS.</p><br></li></ul><ul><li><p>Proficiency in Python, cloud platforms (e.g., OCI, AWS, GCP), CI/CD workflows, and modern software engineering practices.</p><br></li></ul><ul><li><p>Excellent communication and interpersonal skills, with the ability to motivate teams and build productive cross-functional relationships.</p><br></li></ul><ul><li><p>A strategic and solution-oriented mindset, capable of balancing technical depth with big-picture thinking.</p><br></li></ul><ul><li><p>Experience with MarTech ecosystems, customer data platforms (CDPs), campaign orchestration, marketing automation, or CPaaS/omnichannel messaging platforms is preferred </p><br></li></ul><ul><li><p>Experience applying LLMs to marketing use cases, content generation, conversational commerce, or agentic customer journeys including fine-tuning and retrieval-augmented generation (RAG), ideally within the Hugging Face ecosystem (Transformers, PEFT, tokenizers, and the model hub) is preferred </p><br></li></ul><ul><li><p>Exposure to Rust for performance-critical AI services, such as low-latency inference, real-time decisioning, or high-throughput data pipelines is preferred. </p><br></li></ul><ul><li><p>Arabic NLP experience or familiarity with the MENA market is preferred.</p><br></li></ul><ul><li><p>Experience scaling teams and systems in a high-growth SaaS environment is preferred.</p><br></li></ul><p><strong><span><span>Craft &amp; Toolkit:</span></span></strong></p><br><ul><li><p>Machine Learning &amp; Deep Learning</p><br></li><li><p>Generative AI &amp; LLMs</p><br></li><li><p>Recommendation Systems &amp; Personalization</p><br></li><li><p>Customer Segmentation, Propensity &amp; Churn Modeling</p><br></li><li><p>Python</p><br></li><li><p>TensorFlow / PyTorch</p><br></li><li><p>Hugging Face &amp; RAG</p><br></li><li><p>AWS / GCP / OCI</p><br></li><li><p>MLOps &amp; CI/CD</p><br></li><li><p>A/B Testing &amp; Model Evaluation</p><br></li><li><p>Software Architecture &amp; System Design</p><br></li><li><p>AI Engineering Leadership &amp; Team Management</p><br></li></ul><p><strong><span><span>Character Traits:</span></span></strong></p><br><ul><li><p><span>Analytical thinking and problem-solving – approach problems clearly, use data, and find solutions.</span></p><br></li><li><p><span>Ownership and accountability – take responsibility and follow projects through to completion.</span></p><br></li><li><p><span>Communication – explain ideas clearly and listen to others across teams.</span></p><br></li><li><p><span>Collaboration – work well with others and support team goals.</span></p><br></li><li><p><span>Adaptability and learning – adjust to change and keep learning new skills or tools.</span></p><br></li><li><p><span>Mentorship and knowledge sharing – help others grow and share what you know.</span></p><br></li><li><p><span>Resilience – stay calm under pressure and handle setbacks constructively.</span></p><br></li><li><p><span>Quality and attention to detail – do work carefully and strive for improvement.</span></p><br></li><li><p><span>Advocacy and innovation – encourage best practices, efficiency, and new ideas</span></p><br></li></ul><p><strong>As a Unifone you’ll receive a range of benefits:</strong></p><br><ul><li><p><span>Competitive salary and bonus</span></p><br></li><li><p><span>Unifonic share scheme (we are all owners!)</span></p><br></li><li><p><span>30 holiday days after the first anniversary</span></p><br></li><li><p><span>Your Birthday off!</span></p><br></li><li><p><span>Spend up to 25 days per year working from anywhere in the world!</span></p><br></li><li><p><span>Paid leave for new parents</span></p><br></li></ul> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Talent 360 is hiring a Retail Sales Associate to join our team.<br> This is a full-time opportunity for an enthusiastic and customer-oriented professional who enjoys working in a fast-paced retail environment.<br> The ideal candidate is passionate about fashion, delivering exceptional customer service, and achieving sales targets while creating a memorable shopping experience.<br> About the Role As a Retail Sales Associate at Talent 360, you will be responsible for assisting customers throughout their shopping journey, promoting products, maintaining visual merchandising standards, and contributing to the achievement of store sales objectives.<br> Key Responsibilities Welcome customers and provide a friendly, engaging, and personalized shopping experience.<br> Assist customers in selecting products that best suit their needs and preferences.<br> Achieve individual and store sales targets while maximizing sales opportunities.<br> Process sales transactions accurately and efficiently.<br> Maintain the store's visual merchandising standards and ensure products are displayed attractively.<br> Support stock replenishment, inventory counts, and merchandise organization.<br> Build strong customer relationships to encourage repeat business and brand loyalty.<br> Handle customer inquiries and resolve concerns professionally.<br> Maintain product knowledge to effectively communicate features, benefits, and promotions.<br> Collaborate with the store team to ensure smooth daily operations.<br> Work Details Company: Talent 360 Employment Type: Full-time Work Model: On-site Location: Mall of Egypt Working Schedule: Rotational shifts based on the store schedule.<br> Competitive commission Professional work environment Growth opportunities Looking forward to your Applications Previous experience in retail sales is preferred.<br> Experience in the fashion retail industry is a strong advantage.<br> Excellent communication and interpersonal skills.<br> Customer-focused with a positive, energetic, and professional attitude.<br> Strong sales and relationship-building abilities.<br> Ability to work flexible shifts, including weekends and public holidays.<br> Ability to work effectively in a fast-paced retail environment.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About the Role We are looking for a Senior AI Engineer to design, build, and operate production-grade Generative AI solutions on the Microsoft Azure AI ecosystem.<br> You will be the technical anchor for our GenAI initiatives, owning the end-to-end lifecycle: from foundation model selection and prompt/RAG architecture through deployment, MLOps, security hardening, and continuous evaluation.<br> This is a hands-on senior role.<br> You will set technical direction, mentor engineers, and work directly with product, data, security, and platform teams to move AI use cases from prototype to reliable, governed, cost-efficient services.<br> What You Will do GenAI solution design and delivery • Architect and build LLM-powered applications (RAG, agents, copilots, document intelligence, content understanding, conversational systems) using Azure AI Foundry, Azure OpenAI, and the broader Azure AI and data portfolio .<br> • Design retrieval pipelines with Azure AI Search (vector, hybrid, and semantic ranking), including chunking, embedding, indexing, and relevance tuning strategies.<br> • Evaluate, fine-tune, and deploy foundation and open-source models (e.<br>g., GPT, Phi, Llama, Mistral, Kimi, GLM) through Azure AI Foundry model catalog and Azure Machine Learning.<br> • Implement prompt engineering, orchestration frameworks (Semantic Kernel, LangChain, Prompt Flow, or equivalent), and structured evaluation of model quality, groundedness, and safety.<br> Platform, MLOps, and productionization • Build and maintain MLOps/LLMOps pipelines on Azure ML, Github Enterprise: experiment tracking, model registry, CI/CD for models and prompts, automated evaluation, monitoring, and drift/cost management.<br> • Expose AI capabilities as scalable microservices (Azure Kubernetes Service, Azure Container Apps, Azure Functions, API Management), with attention to latency, throughput, resilience, and cost.<br> • Establish observability for AI systems: tracing, token/cost telemetry, quality metrics, and feedback loops.<br> AI security and governance • Apply Responsible AI and AI security practices: content safety filters, prompt-injection and jailbreak mitigation, data-leakage controls, PII handling, and red-teaming.<br> • Implement secure architectures using Azure identity (Entra ID, managed identities), private endpoints, Key Vault, network isolation, and data residency controls.<br> • Contribute to AI governance standards, model risk documentation, and compliance requirements.<br> Technical leadership • Define reference architectures, coding standards, and reusable components for GenAI workloads.<br> • Mentor and review the work of other engineers; lead design discussions and technical decision-making.<br> • Partner with stakeholders to translate business problems into feasible, measurable AI solutions and communicate trade-offs clearly.<br> • Stay current with the rapidly evolving model and tooling landscape and bring practical recommendations to the team.<br> Required Qualifications • 8–10+ years of overall experience in AI, machine learning, and data engineering, with a strong track record of delivering production systems.<br> • Minimum 2–3 years of hands-on experience with Azure AI Foundry (formerly Azure AI Studio) and Azure OpenAI Service, including deploying and operating GenAI applications in production.<br> • Deep expertise across the Azure AI ecosystem: Azure Machine Learning, Azure AI Search, Azure AI Services (Document Intelligence, Language, Speech, Vision), Fabric and Azure AI Content Safety.<br> • Strong understanding of LLMs and foundation models: architectures, tokenization, context management, embeddings, fine-tuning (LoRA/PEFT), quantization, and evaluation methods.<br> • Practical experience with open-source models and frameworks (Hugging Face, Llama, Mistral, Phi, vLLM/ONNX Runtime or similar serving stacks).<br> • Proven MLOps/LLMOps experience: CI/CD, model versioning, automated testing and evaluation, monitoring, and rollback strategies.<br> • Experience designing and building microservices and APIs (containers, Kubernetes, REST/gRPC, event-driven patterns) with Azure DevOps or GitHub Actions.<br> • Demonstrated knowledge of AI security and Responsible AI: threat modeling for LLM applications (OWASP Top 10 for LLMs), data protection, access control, and safety guardrails.<br> • Working experience with at least one other cloud provider (AWS or GCP) and their AI/ML services (e.<br>g., Amazon Bedrock, SageMaker, Vertex AI).<br> • Expert-level Python; solid software engineering fundamentals (testing, code review, design patterns, performance optimization).<br> • Strong data foundations: SQL, data pipelines, data modeling, and familiarity with Azure data services (Data Factory, Databricks, Synapse, Fabric, Cosmos DB, or equivalent).<br> • Excellent communication skills with the ability to explain complex AI concepts to technical and non-technical audiences.<br> Preferred Qualifications • Microsoft certifications: AI-102 (Azure AI Engineer Associate), DP-100 (Azure Data Scientist Associate), or AZ-305.<br> • Experience with agentic AI patterns, multi-agent orchestration, and tool/function calling (Azure AI Agent Service, Semantic Kernel agents, AutoGen, or similar).<br> • Experience with vector databases beyond Azure AI Search (e.<br>g., Cosmos DB vector search, PostgreSQL pgvector, Pinecone, Weaviate).<br> • Background in NLP, computer vision, or speech systems prior to the GenAI era.<br> • Experience with model evaluation and observability tooling (Azure AI evaluation SDK, Prompt Flow evaluations, Langfuse, MLflow, Weights &amp; Biases).<br> • Familiarity with regulatory and compliance frameworks relevant to AI (GDPR, ISO/IEC 42001, NIST AI RMF, EU AI Act, or regional data protection regulations).<br> • Experience operating in regulated industries (financial services, healthcare, government) or large-enterprise environments.<br> • Contributions to open-source projects, publications, or technical community engagemen Key Competencies • Ownership and delivery focus in ambiguous, fast-moving environments • Systems thinking: balancing model quality, latency, cost, security, and maintainability • Pragmatism about when GenAI is (and is not) the right tool • Mentorship and collaborative technical leadership What We Offer Competitive market compensation and benefits.<br> • Opportunity to shape the AI platform and standards for a fast growing startup in UAE.<br> • Access to Azure and partner resources, certifications, and continuous learning budget Travel.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b><strong>About Mozn</strong></b></p><br><p><span>MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.</span><br><span>We’re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.</span><br><span>If you’re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.</span></p><br><p><b><strong>About the role</strong></b></p><br><p><span>We are looking for a highly motivated</span><b><strong>AI Infrastructure Engineer III</strong></b><span>to join our Cloud Engineering team. The ideal candidate is passionate about building scalable AI infrastructure that enables machine learning engineers and data scientists to efficiently develop, train, deploy, and</span><span>operate</span><span>AI models.</span></p><br><p><span>This role focuses on designing, operating, automating, and continuously improving AI platform capabilities including</span><b><strong>Kubeflow, MLflow, GPU infrastructure, distributed training platforms, model serving infrastructure, and MLOps tooling</strong></b><span>across cloud-native and hybrid environments.</span></p><br><p><span>The ideal candidate possesses deep expertise in AI infrastructure and GPU platforms. Kubernetes and cloud platform experience are essential enablers, but the primary focus is building highly optimized infrastructure for AI and machine learning workloads.</span></p><br><p><b><strong>What you'll do</strong></b></p><br><p><b><strong>AI Platform Engineering</strong></b></p><br><ul><li><span>Design, deploy, and operate enterprise AI/ML platforms.</span></li></ul><ul><li><span>Build self-service platforms for Data Scientists and ML Engineers.</span></li></ul><ul><li><span>Deploy and operate Kubeflow, MLflow, KServe, Ray, or similar AI platforms.</span></li></ul><ul><li><span>Design infrastructure supporting model training, experimentation, feature engineering, and inference.</span></li></ul><ul><li><span>Build highly available and scalable model serving infrastructure.</span></li></ul><p><b><strong>GPU Infrastructure</strong></b></p><br><ul><li><span>Design and operate GPU clusters for large-scale AI workloads.</span></li></ul><ul><li><span>Optimize GPU scheduling, utilization, sharing, autoscaling, and resource allocation.</span></li></ul><ul><li><span>Deploy and manage NVIDIA GPU Operator and GPU-enabled Kubernetes environments.</span></li></ul><ul><li><span>Optimize distributed GPU training performance across multi-node clusters.</span></li></ul><ul><li><span>Troubleshoot AI infrastructure performance bottlenecks.</span></li></ul><p><b><strong>MLOps &amp; Platform Automation</strong></b></p><br><ul><li><span>Build CI/CD pipelines for ML workloads.</span></li></ul><ul><li><span>Automate AI infrastructure provisioning using Infrastructure as Code.</span></li></ul><ul><li><span>Implement monitoring and observability for GPU utilization, model serving, training jobs, and inference latency.</span></li></ul><ul><li><span>Collaborate closely with Data Science teams to improve platform usability, performance, and reliability.</span></li></ul><p><b><strong>Qualifications</strong></b></p><br><ul><li><span>4-6</span><span>years of experience in AI Infrastructure,</span><span>MLOps, Platform Engineering, or Cloud Engineering.</span></li></ul><ul><li><span>Strong hands-on experience with Kubernetes.</span></li></ul><ul><li><span>Experience with Kubeflow, MLflow, or similar ML platform technologies.</span></li></ul><ul><li><span>Experience operating GPU infrastructure for AI workloads.</span></li></ul><ul><li><span>Strong understanding of NVIDIA GPU technologies, CUDA fundamentals, and GPU optimization.</span></li></ul><ul><li><span>Experience supporting distributed training workloads.</span></li></ul><ul><li><span>Experience with model serving platforms such as KServe, Triton Inference Server, Ray Serve, or similar.</span></li></ul><ul><li><span>Experience with AWS, GCP, OCI, or Azure AI platforms.</span></li></ul><ul><li><span>Experience automating infrastructure using Terraform, Helm,</span><span>GitOps, or Ansible.</span></li></ul><ul><li><span>Strong scripting or programming skills in Python, Bash, or Go.</span></li></ul><ul><li><span>Experience with Prometheus, Grafana, OpenTelemetry, ELK/OpenSearch, or equivalent observability platforms.</span></li></ul><p><b><strong>Preferred Qualifications</strong></b></p><br><ul><li><span>Experience with PyTorch, TensorFlow, Hugging Face, or JAX.</span></li></ul><ul><li><span>Experience with distributed training frameworks such as Ray, DeepSpeed, Horovod, or NCCL.</span></li></ul><ul><li><span>Experience with Vector Databases, LLM infrastructure, RAG architectures, or GenAI platforms.</span></li></ul><ul><li><span>Experience operating inference platforms for large language models.</span></li></ul><ul><li><span>Experience supporting AI research or Data Science teams in production environments.</span></li></ul><ul><li><span>Contributions to Cloud Native, Kubernetes, AI, or ML open-source communities.</span></li></ul><ul><li><span>Cloud, Kubernetes, NVIDIA, or AI/ML certifications are a plus.</span></li></ul><p><b><strong>Benefits</strong></b></p><br><ul><li><span>You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space</span></li><li><span>You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best</span></li><li></li></ul> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> We’re running a short video data collection project for one of our clients. We’re looking for native Arabic speakers across multiple Arabic-speaking countries and dialects to record a 15–20 second video, speaking naturally in Arabic and looking directly into the camera. The videos collected will be used to help train and evaluate an AI model that distinguishes real, human-recorded video from AI-generated (synthetic) video.<br> <p><strong><span>Project Details:</span></strong></p><br> <br> <p><strong><span>Start Date:</span><span> ASAP</span></strong></p><br> <br> <p><strong><span>Duration: </span><span>1 session&nbsp;</span></strong></p><br> <br> <p><strong><span>Commitment:</span><span> 1 hour.&nbsp;</span></strong></p><br> <br> <p><strong><span>Job Type:</span><span> Freelance</span></strong></p><br> <br> <p><strong><span>Location: Egypt (Remote)</span></strong></p><br> <br> <p><strong><span>Language/Dialects:</span> <span>Egyptian, Levantine, Gulf, Iraqi, Yemeni</span></strong></p><br> <br> <p><strong><span>Pay Rate: </span><span>$5.00/ per accepted Video </span></strong></p><br> <br> <br><br><p><b>Eligibility</b></p><br><ul> <li><ul> <li> <p><span>18 years of age or older.</span></p><br> </li> </ul><br><ul> <li> <p><span>Native Arabic speaker (self-identified). You may be asked to complete a brief screening step to confirm your dialect before your submission is finalized.</span></p><br> </li> </ul><br><br></li> </ul><br><p><b>What you’ll do </b></p><br><ul> <li><ul> <li> <p><span>Record a single 15–20 second video in your native Arabic </span><span>dialect</span><span>.</span></p><br> </li> </ul><br><ul> <li> <p><span>Speak naturally (no script). Suggested prompts: briefly introduce yourself, mention where you live, or talk about an interest/hobby.</span></p><br> </li> </ul><br><ul> <li> <p><span>Look directly at the camera the whole time.</span></p><br> </li> </ul><br><br><ul> <li> <p><span>After recording, answer a few short questions about yourself (e.g., age range, country, dialect) to help us organize the dataset.</span></p><br> </li> </ul><br><br><br></li> </ul><br><p><b>Recording specifications (must meet all to be accepted) </b></p><br><ul> <li><ul> <li> <p><span>Video quality: 1080p or higher&nbsp;</span></p><br> </li> </ul><br><ul> <li> <p><span>Length: 15–20 seconds&nbsp;</span></p><br> </li> </ul><br><ul> <li> <p><span>Framing: Head-and-shoulders, face centered and fully visible</span></p><br> </li> </ul><br><ul> <li> <p><span>Lighting/background: Well-lit face (no harsh shadows), plain/neutral background</span></p><br> </li> </ul><br><ul> <li> <p><span>Expression: Neutral/relaxed while speaking naturally</span></p><br> </li> </ul><br><ul> <li> <p><span>Audio: Clear speech, no background noise, music, or echo</span></p><br> </li> </ul><br><ul> <li> <p><span>Orientation: Portrait or landscape acceptable (hold steady, no shaky footage)</span></p><br> </li> </ul><br><ul> <li> <p><span>Environment: Quiet indoor setting preferred</span></p><br> </li> </ul><br><ul> <li> <p><span>Prohibited: Filters/beauty modes, sunglasses, hats/hoods, face coverings, headphones/earbuds, watermarks, stickers, borders, other people/pets in frame</span></p><br> </li> </ul><br><br></li> </ul><br><p><b>Your Privacy</b></p><br><p><span>Before you begin, you’ll be asked to review and accept a consent form explaining how your video and any information you provide will be used, stored, and who it will be shared with.</span></p><br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Talent 360 is hiring a Social Media Moderator to join our team.<br> This is a full-time opportunity for a customer-focused professional who is passionate about delivering exceptional online customer experiences.<br> The ideal candidate will manage customer interactions across social media platforms, provide timely support, and contribute to maintaining a positive brand image through professional and effective communication.<br> About the Role As a Social Media Moderator at Talent 360, you will be responsible for handling customer inquiries, comments, and messages across social media channels.<br> You will ensure customers receive accurate information, resolve concerns efficiently, and collaborate with internal teams to deliver an outstanding online shopping experience for a growing fashion retail brand.<br> Key Responsibilities Respond promptly and professionally to customer inquiries received through social media platforms and messaging channels.<br> Handle customer inquiries related to products, sizing, availability, orders, deliveries, exchanges, and returns.<br> Resolve customer complaints and escalate complex cases to the appropriate departments when needed.<br> Follow up with customers to ensure timely issue resolution and a positive customer experience.<br> Monitor comments, reviews, and direct messages while maintaining the brand's tone of voice.<br> Coordinate with the warehouse, operations, and e-commerce teams regarding order updates and customer requests.<br> Record customer interactions and maintain accurate documentation of inquiries and resolutions.<br> Identify recurring customer concerns and provide feedback to support service and operational improvements.<br> Support promotional campaigns, product launches, and seasonal sales by responding to customer inquiries.<br> Achieve customer service quality standards and response time targets.<br> Work Details Company: Talent 360 Employment Type: Full-time Work Model: Hybrid Location: Palm Hills, 6th of October Working Days: Sunday to Thursday, plus every other Saturday (Remote).<br> Working Hours: 9:00 AM – 5:00 PM or 10:00 AM – 6:00 PM Medical Insurance Hybrid Working Model Flexible Working Hours Bachelor's degree.<br> 0–2 years of experience in customer service, social media moderation, online customer support, or a similar role.<br> Previous experience in the fashion, retail, or e-commerce industry is preferred.<br> Very good command of English (especially written) is required.<br> Excellent written and verbal communication skills in Arabic.<br> Strong customer service, problem-solving, and conflict resolution skills.<br> Ability to manage multiple conversations simultaneously in a fast-paced environment.<br> Familiarity with social media platforms such as Instagram, Facebook, TikTok, and WhatsApp Business.<br> Good organizational skills and attention to detail.<br> Proficiency in Microsoft Office and Google Workspace is an advantage.<br> Positive attitude, strong teamwork skills, and customer-first mindset.<br></span> </div>

<p>Are you a fashion enthusiast with a passion for delivering exceptional customer experiences? Do you thrive in a dynamic retail environment and love connecting people with the latest trends? Our renowned medical wear fashion brand is looking for a talented and energetic <strong>Retail Sales Associate</strong> to join our vibrant team in <strong>Cairo, Egypt</strong>! This is an incredible opportunity to immerse yourself in the world of medical wear fashion, working <strong>on-site</strong> to create memorable shopping journeys for our valued customers.</p><p><strong>Overview:</strong></p><p>Step into a role where your love for style meets your knack for sales! As a Retail Sales Associate, you will be the face of our brand, bringing our collections to life for every customer who walks through our doors. You will play a crucial role in creating an inviting atmosphere, guiding fashion choices, and ensuring an unforgettable experience that reflects our brand's prestige and innovation.</p><ul><li><p><strong>Key Responsibilities:</strong></p><ul><li><p><strong>Engage &amp; Inspire:</strong> Greet customers warmly, build rapport, and provide personalized styling advice to help them discover pieces they'll adore.</p></li><li><p><strong>Drive Sales:</strong> Confidently present product features and benefits, skillfully upsell and cross-sell, and consistently meet or exceed sales targets.</p></li><li><p><strong>Brand Ambassador:</strong> Embody our brand's aesthetic and values, sharing your passion for fashion and product knowledge with every interaction.</p></li><li><p><strong>Visual Excellence:</strong> Maintain impeccable store standards, assist with visual merchandising, and ensure our displays are always captivating and on-trend.</p></li><li><p><strong>Operational Support:</strong> Efficiently handle transactions using <strong>Point-of-Sale (POS) Systems</strong>, manage inventory, and assist with store opening and closing procedures.</p></li><li><p><strong>Client Relationship Management:</strong> Cultivate lasting relationships with customers, ensuring their loyalty and satisfaction.</p></li></ul></li><li><p><strong>Skills &amp; Technologies:</strong></p><p>You will leverage your expertise in <strong>Sales</strong>, <strong>Retail Sales</strong>, and <strong>Customer Service</strong> daily. Proficiency in <strong>Point-of-Sale (POS) Systems</strong> is key, alongside a strong understanding of <strong>Product Knowledge</strong> and <strong>Visual Merchandising</strong> to enhance the shopping experience. Your excellent <strong>Communication Skills</strong> and dedication to <strong>Client Relationship Management</strong> will be paramount to your success.</p></li><li><p><strong>Growth Opportunities:</strong></p><p>We believe in nurturing talent! For an <strong>Experienced</strong> professional like you, this role offers a clear path for advancement within our growing brand. Develop your expertise, take on new challenges, and explore opportunities in leadership, visual merchandising, or even corporate roles in the fashion industry.</p></li><li><p><strong>Team &amp; Culture:</strong></p><p>Join a passionate, collaborative, and fashion-forward team where creativity is celebrated and individual contributions are valued. We foster an environment of continuous learning, mutual respect, and shared success, all while working in the vibrant heart of Cairo's fashion scene.</p></li><li><p><strong>Impact:</strong></p><p>Your daily efforts will directly contribute to our brand's success, strengthening our presence in the Egyptian market, building a loyal customer base, and ensuring our reputation as a leader in fashion retail. You'll be instrumental in bringing style and confidence to our customers, one exceptional experience at a time.</p></li></ul><p></p><p><strong>Requirements</strong></p><ul><li><p><strong>Experience &amp; Expertise:</strong></p><ul><li><p>A minimum of <strong>1-3 years of proven experience</strong> in a dynamic retail sales environment, preferably within the fashion industry.</p></li><li><p>Demonstrated success in achieving sales targets and delivering outstanding customer service.</p></li><li><p>An <strong>Experienced</strong> career level professional ready to make an immediate impact.</p></li></ul></li><li><p><strong>Essential Skills for Success:</strong></p><ul><li><p><strong>Sales:</strong> Strong track record in driving sales and converting interest into purchases.</p></li><li><p><strong>Fashion:</strong> A genuine passion for fashion, current trends, and styling.</p></li><li><p><strong>Retail Sales:</strong> Deep understanding of retail sales principles and customer engagement strategies.</p></li><li><p><strong>Retail Operations:</strong> Practical experience in day-to-day retail store operations and procedures.</p></li><li><p><strong>Customer Service:</strong> Exceptional commitment to providing superior customer experiences.</p></li><li><p><strong>Communication Skills:</strong> Excellent verbal communication and interpersonal abilities.</p></li><li><p><strong>Product Knowledge:</strong> Ability to quickly learn and articulate detailed product information.</p></li><li><p><strong>Visual Merchandising:</strong> Keen eye for detail and ability to contribute to attractive store displays.</p></li><li><p><strong>Client Relationship Management:</strong> Proven ability to build and maintain strong customer relationships.</p></li><li><p><strong>Point-of-Sale (POS) Systems:</strong> Proficient in using POS systems for efficient transaction processing and basic inventory tasks.</p></li><li><p><strong>Inventory Management:</strong> Basic understanding of stock control and replenishment.</p></li><li><p><strong>Trend Awareness:</strong> Ability to stay updated with fashion trends and advise customers accordingly.</p></li><li><p><strong>Cash Handling:</strong> Accurate cash handling and reconciliation skills.</p></li><li><p><strong>Upselling:</strong> Skilled in identifying opportunities for upselling and cross-selling.</p></li><li><p><strong>Team Collaboration:</strong> A collaborative spirit, working effectively within a team to achieve collective goals.</p></li></ul></li></ul><p></p>

Lead the AI layer that makes our chip-design platform smarter than the competition.<br>About Nativechips<br>Nativechips (NC) is a US-based company with teams in the US and Cairo, building an AI-augmentedplatform for chip design. We work across proprietary and open-source EDA stacks, applying AI/ML tomake chip design faster and more accessible. We deliver platforms to IDMs and offer self-serve Paa S to design teams worldwide. We're a small, senior team — every hire shapes the product and the company.<br>About the role<br>We're hiring a Senior AI/ML Engineer to lead AI strategy and implementation across the company. You'll work on two intertwined areas: (1) AI-augmentation of digital EDA flows — ML/RL for synthesis,placement, routing, verification; and (2) generative AI features in our Paa S platform — LLM-powereddesign assistants, automation, and intelligent recommendations. You'll partner with our ASIC and Platform engineers, and grow the AI function alongside a Junior AI engineer who joins shortly after.<br>What you'll do<br>Define AI strategy across digital EDA flows and Paa S platform features Design and implement AI/ML approaches for digital EDA problems (RL for placement, ML forsynthesis QoR) Build LLM-powered features for Paa S (assistants, code generation, EDA scripting, RAG overdesign data) Work with both proprietary (Synopsys, Cadence, Siemens) and open-source EDA tools as AI integration targets Mentor and grow a Junior AI/ML Engineer who joins in M2Contribute to research direction and publish/present where appropriate Own end-to-end: from research idea to deployed feature<br>What we need from you<br>6+ years ML engineering with a track record of shipped production models or impactful research Strong Python and modern ML frameworks (PyTorch, JAX, Hugging Face) Production LLM deployment experience (RAG, fine-tuning, evaluation) Familiarity with EDA concepts (synthesis, placement, routing) — or strong interest and aptitudeto learn Experience leading or mentoring other ML engineers MSc/PhD in CS, EE, or related; equivalent industry experience accepted<br>Bonus points for<br>Published work in ML-for-EDA (DAC, ICCAD, ML4PS, etc.) Experience at an EDA vendor (Cadence, Synopsys, Siemens), foundry, or chip design house RL or graph neural network experience Production experience deploying ML models in latency-sensitive environments Track record of building and growing AI/ML teams from early stages<br>Why Nativechips<br>Direct impact on product direction and engineering culture from day one Work alongside a senior, founder-led team with deep semiconductor industry experience Cairo-based engineering team with US headquarters; remote-friendly working model Competitive compensation with meaningful stock options for early hires Work on technically substantial problems — not maintenance work<br>Location: Cairo-based, remote-friendly

Company Description 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. Role Description 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. Key Responsibilities Lead, coach, and motivate the store team to deliver exceptional customer service and sales performance. Oversee all store operations including visual merchandising, inventory control, cashiering, and store presentation. Maintain strong relationships with local brand partners, ensuring their collections are well-represented and aligned with our store’s standards. Monitor store KPIs and implement action plans to achieve sales, foot traffic, and customer engagement goals. Ensure high standards in cleanliness, product display, and in-store experiences that reflect the creativity and quality of our brand partners. Handle customer feedback, escalations, and ensure timely resolution in line with brand values. Coordinate with marketing and operations teams for product launches, promotions, and events. Support recruitment, onboarding, and development of store staff. Minimum Requirements Education: Bachelor’s degree in business, or a related field . Experience:10 years of experience in sales, with 3-5 in store management, preferably in fashion or lifestyle sectors. Soft Skills: Team management. Communication skills. Negotiation skills. Problem-solving and Decision-making. Team collaboration . Technical Skills: Fashion sales skills. Store management (people, & Operations) Knowledge of visual merchandising Familiarity with store POS systems and basic inventory management tools . Language Skills Good in English Language (spoken and written). Other Requirements Ability to work dependently in the store, and collaboratively with other departments. Core Competencies: Leadership & Team Development Store Operations Management Customer Experience & Service Excellence Sales & Performance Management Brand & Visual Merchandising Alignment .

<ul><li><p>MECH&nbsp;BIM&nbsp;lead&nbsp;experience working on multi-D projects.&nbsp;</p></li></ul><ul><li><p>Should have&nbsp;in depth&nbsp;knowledge on&nbsp;MECH&nbsp;systems and how&nbsp;its&nbsp;constructed in site.&nbsp;</p></li></ul><ul><li><p>Should have in-depth knowledge on all the latest CDE's.&nbsp;</p></li></ul><ul><li><p>Should have in-depth knowledge on ISO19650.&nbsp;</p></li></ul><ul><li><p>To collaborate with Designers, BIM leads, Planners to ensure alignment and quality BIM models.&nbsp;</p></li></ul><ul><li><p>Develop documentation&nbsp;required&nbsp;to support the implementation and progression of 3D &amp; 4D BIM.&nbsp;</p></li></ul><ul><li><p>Should be well versed with Revit MECH&nbsp;&amp; AutoCAD and able to mentor team.&nbsp;</p></li></ul><ul><li><p>Follow firm-wide BIM/CAD Standards, procedures and guidelines that conform to international standards, our firm's culture, and the emerging best practices. &nbsp;</p></li></ul><ul><li><p>Model/drawing set-up and organize.&nbsp;</p></li></ul><ul><li><p>Preparing 3D REVIT MECH&nbsp;Models,&nbsp;Families&nbsp;and Schedules.&nbsp;</p></li></ul><ul><li><p>Ability to create Parametric Components and vary the value of parameters assigned to groups.&nbsp;</p></li></ul><ul><li><p>Coordinate MEP Models with Structural and Architectural Model.&nbsp;</p></li></ul><ul><li><p>Able to coordinate and&nbsp;analyse&nbsp;REVIT/Navisworks clash detection reports and correct issues.&nbsp;</p></li></ul><ul><li><p>Coordinates work with other disciplines including Electrical, Architectural, Structural and Interior Design.&nbsp;</p></li></ul><ul><li><p>Prepares detailed equipment room layouts, detailed riser diagrams, plot files, PDF's,&nbsp;partplans. &nbsp;</p></li></ul><ul><li><p>Highlights completed mark-ups and return drawings to Engineer/Manager. &nbsp;Prints&nbsp;drawing sets as requested.&nbsp;</p></li></ul><ul><li><p>Checks&nbsp;drawings for quality control using standard checklist, as&nbsp;appropriate. &nbsp;</p></li></ul><ul><li><p>Maintains design files in an organized and up-to-date fashion&nbsp;in accordance with&nbsp;company standards. &nbsp;</p></li></ul><ul><li><p>Communicates regularly with&nbsp;team&nbsp;to ensure schedules are met. &nbsp;</p></li></ul><ul><li><p>Identifies&nbsp;and reports to Manager any project related quality,&nbsp;speed&nbsp;or scheduling issues.&nbsp;</p></li></ul><p></p><p><strong>Requirements</strong></p><ul><li><p>Bachelor of Engineering with minimum 10-15 years of relevant experience.&nbsp;</p></li></ul><ul><li><p>Knowledge of multidisciplinary and multi-regional&nbsp;project&nbsp;to&nbsp;comply with&nbsp;the relevant CAD/BIM Standard.&nbsp;</p></li></ul><ul><li><p>Ability to read &amp; interpret engineering drawings &amp; specifications.&nbsp;</p></li></ul><ul><li><p>Ability to work using&nbsp;Engineers&nbsp;calculations and design in producing drawings / 3D modelling.&nbsp;</p></li></ul><ul><li><p>Knowledge of Building design processes working within a multiple discipline engineering environment, and within a project and commercially focused business.&nbsp;</p></li></ul><ul><li><p>Identify,&nbsp;interpret&nbsp;and apply required industry/ client/ internal CAD/BIM standards. To ensure that our finished product is Project,&nbsp;Client&nbsp;and BIM compliant.&nbsp;</p></li></ul><ul><li><p>Work independently and take proactive&nbsp;initiative.&nbsp;</p></li></ul><ul><li><p>Self-motivated development.&nbsp;</p></li></ul><ul><li><p>Competent to check the work.&nbsp;</p></li></ul><ul><li><p>Able to present /&nbsp;represent&nbsp;their technical work.&nbsp;</p></li></ul><ul><li><p>Working knowledge of standard codes and EDMS (Electronic Data Management System.&nbsp;</p></li></ul><ul><li><p>Shows flexibility in work tasks and locations.&nbsp;</p></li></ul><ul><li><p>Responsible for completion of specifically assigned tasks to time and cost.&nbsp;</p></li></ul><ul><li><p>Required Skills for Digital Part.&nbsp;</p></li></ul><ul><li><p>A thorough understanding of the data, information management and BIM including compliance&nbsp;to&nbsp;ISO 19650 standards.&nbsp;</p></li></ul><ul><li><p>Sound knowledge in engineering design and to&nbsp;assist&nbsp;design team in Self/Inter disciplinary.&nbsp;</p></li></ul><ul><li><p>services&nbsp;coordination,&nbsp;quality&nbsp;compliance etc.&nbsp;</p></li></ul><ul><li><p>Expert knowledge of BIM authoring tools from various software providers such as&nbsp;Autodesk,&nbsp;Bentley in delivery of multi-disciplinary projects.&nbsp;</p></li></ul><ul><li><p>Expert knowledge of model federation and co-ordination platforms such as Navisworks,&nbsp;Revizto, BIM Track (New&nbsp;forma&nbsp;Konekt) for performing tasks like clash detection and resolution, model walk-through and issue tracking and management.&nbsp;</p></li></ul><ul><li><p>Expert knowledge of Common Data Environment (CDE) such as BIM360, ACC and ProjectWise.&nbsp;</p></li></ul><ul><li><p>Knowledge of automation tools such as Dynamo.&nbsp;</p></li></ul><ul><li><p>Ability to develop technical documentation for Information Management/BIM.&nbsp;</p></li></ul><ul><li><p>Effective communication,&nbsp;coordination&nbsp;and collaboration skills.&nbsp;</p></li></ul><ul><li><p>Excellent problem-solving and critical thinking skills.&nbsp;</p></li></ul><ul><li><p>Desirable Skills and Experience:&nbsp;</p></li></ul><ul><li><p>Professional accreditation to the level of an Incorporated or Chartered Engineer or working towards professional qualifications.&nbsp;</p></li></ul><ul><li><p>Must be an advanced user or expert user in Autodesk Navisworks with capabilities to federate individual&nbsp;discipline&nbsp;BIM Models. Setup,&nbsp;maintain&nbsp;and run clash rules and clash tests across federated BIM Models. Must know how to create search sets, query, find and navigate through BIM Models.&nbsp;</p></li></ul><ul><li><p>Must be able to use Navisworks to generate clash results, manage clash resolution, redline BIM Models, capture&nbsp;viewpoints&nbsp;and cascade reports to discipline teams. Must be able to perform Navisworks model management.&nbsp;</p></li></ul><ul><li><p>Computational / Generative design tool experience such as Autodesk Dynamo or Grasshopper / Rhino.&nbsp;</p></li></ul><ul><li><p>Technical&nbsp;proficiency&nbsp;in the use of the latest common CDE systems: Bentley ProjectWise and Autodesk BIM360.&nbsp;</p></li></ul><p></p>

<p>About the Role We are looking for a Senior AI Engineer to design, build, and operate production-grade Generative AI solutions on the Microsoft Azure AI ecosystem. You will be the technical anchor for our GenAI initiatives, owning the end-to-end lifecycle: from foundation model selection and prompt/RAG architecture through deployment, MLOps, security hardening, and continuous evaluation. This is a hands-on senior role. You will set technical direction, mentor engineers, and work directly with product, data, security, and platform teams to move AI use cases from prototype to reliable, governed, cost-efficient services.</p><p>What You Will do</p><p>GenAI solution design and delivery</p><ul><li>Architect and build LLM-powered applications (RAG, agents, copilots, document intelligence, content understanding, conversational systems) using Azure AI Foundry, Azure OpenAI, and the broader Azure AI and data portfolio .</li><li>Design retrieval pipelines with Azure AI Search (vector, hybrid, and semantic ranking), including chunking, embedding, indexing, and relevance tuning strategies.</li><li>Evaluate, fine-tune, and deploy foundation and open-source models (e.g., GPT, Phi, Llama, Mistral, Kimi, GLM) through Azure AI Foundry model catalog and Azure Machine Learning.</li><li>Implement prompt engineering, orchestration frameworks (Semantic Kernel, LangChain, Prompt Flow, or equivalent), and structured evaluation of model quality, groundedness, and safety.</li></ul><p>Platform, MLOps, and productionization</p><ul><li>Build and maintain MLOps/LLMOps pipelines on Azure ML, Github Enterprise: experiment tracking, model registry, CI/CD for models and prompts, automated evaluation, monitoring, and drift/cost management.</li><li>Expose AI capabilities as scalable microservices (Azure Kubernetes Service, Azure Container Apps, Azure Functions, API Management), with attention to latency, throughput, resilience, and cost.</li><li>Establish observability for AI systems: tracing, token/cost telemetry, quality metrics, and feedback loops.</li></ul><p>AI security and governance</p><ul><li>Apply Responsible AI and AI security practices: content safety filters, prompt-injection and jailbreak mitigation, data-leakage controls, PII handling, and red-teaming.</li><li>Implement secure architectures using Azure identity (Entra ID, managed identities), private endpoints, Key Vault, network isolation, and data residency controls.</li><li>Contribute to AI governance standards, model risk documentation, and compliance requirements.</li></ul><p>Technical leadership</p><ul><li>Define reference architectures, coding standards, and reusable components for GenAI workloads.</li><li>Mentor and review the work of other engineers; lead design discussions and technical decision-making.</li><li>Partner with stakeholders to translate business problems into feasible, measurable AI solutions and communicate trade-offs clearly.</li><li>Stay current with the rapidly evolving model and tooling landscape and bring practical recommendations to the team.</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>Required Qualifications</h2><ul><li>8 10+ years of overall experience in AI, machine learning, and data engineering, with a strong track record of delivering production systems.</li><li>Minimum 2 3 years of hands-on experience with Azure AI Foundry (formerly Azure AI Studio) and Azure OpenAI Service, including deploying and operating GenAI applications in production.</li><li>Deep expertise across the Azure AI ecosystem: Azure Machine Learning, Azure AI Search, Azure AI Services (Document Intelligence, Language, Speech, Vision), Fabric and Azure AI Content Safety.</li><li>Strong understanding of LLMs and foundation models: architectures, tokenization, context management, embeddings, fine-tuning (LoRA/PEFT), quantization, and evaluation methods.</li><li>Practical experience with open-source models and frameworks (Hugging Face, Llama, Mistral, Phi, vLLM/ONNX Runtime or similar serving stacks).</li><li>Proven MLOps/LLMOps experience: CI/CD, model versioning, automated testing and evaluation, monitoring, and rollback strategies.</li><li>Experience designing and building microservices and APIs (containers, Kubernetes, REST/gRPC, event-driven patterns) with Azure DevOps or GitHub Actions.</li><li>Demonstrated knowledge of AI security and Responsible AI: threat modeling for LLM applications (OWASP Top 10 for LLMs), data protection, access control, and safety guardrails.</li><li>Working experience with at least one other cloud provider (AWS or GCP) and their AI/ML services (e.g., Amazon Bedrock, SageMaker, Vertex AI).</li><li>Expert-level Python; solid software engineering fundamentals (testing, code review, design patterns, performance optimization).</li><li>Strong data foundations: SQL, data pipelines, data modeling, and familiarity with Azure data services (Data Factory, Databricks, Synapse, Fabric, Cosmos DB, or equivalent).</li><li>Excellent communication skills with the ability to explain complex AI concepts to technical and non-technical audiences.</li></ul><h2>Preferred Qualifications</h2><ul><li>Microsoft certifications: AI-102 (Azure AI Engineer Associate), DP-100 (Azure Data Scientist Associate), or AZ-305.</li><li>Experience with agentic AI patterns, multi-agent orchestration, and tool/function calling (Azure AI Agent Service, Semantic Kernel agents, AutoGen, or similar).</li><li>Experience with vector databases beyond Azure AI Search (e.g., Cosmos DB vector search, PostgreSQL pgvector, Pinecone, Weaviate).</li><li>Background in NLP, computer vision, or speech systems prior to the GenAI era.</li><li>Experience with model evaluation and observability tooling (Azure AI evaluation SDK, Prompt Flow evaluations, Langfuse, MLflow, Weights &amp; Biases).</li><li>Familiarity with regulatory and compliance frameworks relevant to AI (GDPR, ISO/IEC 42001, NIST AI RMF, EU AI Act, or regional data protection regulations).</li><li>Experience operating in regulated industries (financial services, healthcare, government) or large-enterprise environments.</li><li>Contributions to open-source projects, publications, or technical community engagement</li></ul><h2>Key Competencies</h2><ul><li>Ownership and delivery focus in ambiguous, fast-moving environments</li><li>Systems thinking: balancing model quality, latency, cost, security, and maintainability</li><li>Pragmatism about when GenAI is (and is not) the right tool</li><li>Mentorship and collaborative technical leadership</li></ul>

**Retail Sales Consultant – Mazalle Elite**<br>Mazalle Elite is looking for a confident, customer-focused **Retail Sales Consultant** to join our team at our New branch at Syria street, Roushdy, Alexandria.<br>**Responsibilities:**<br>* Welcome customers and provide a professional in-store experience.* Understand customer needs and recommend suitable perfumes and cosmetics.* Explain product features, differences, and available offers clearly.* Achieve individual and branch sales targets.* Upsell and cross-sell relevant products when appropriate.* Maintain product displays and ensure shelves are organized and presentable.* Support daily stock checks and basic inventory procedures.* Handle customer inquiries professionally and help build long-term customer relationships.* Follow Mazalle Elite’s service standards and store policies.<br>**Requirements:**<br>* Previous retail sales experience is preferred, especially in perfumes, cosmetics, beauty, fashion, or premium retail.* Strong communication and customer service skills.* Presentable, confident, and professional appearance.* Good sales and negotiation skills.* Ability to work as part of a team and achieve targets.* Basic computer and POS system skills are preferred.* Residents of Alexandria are preferred.<br>**Location:** Syria street, Roushdy, Alexandria<br>If you are passionate about sales, perfumes, cosmetics, and delivering an excellent customer experience, we would love to hear from you.

- A&nbsp;General Accountant&nbsp;to manage daily accounting operations for our fast-growing fashion eCommerce business.- The role requires hands-on experience with Odoo ERP, e-invoicing, VAT compliance, reconciliations, and eCommerce accounting.:Key Responsibilities Record and post accounting entries for purchases, sales, expenses, payroll, and manufacturing in Odoo. Manage vendor bills, customer invoices, payments, and account reconciliations. Monitor Odoo integrations with Shopify and logistics platforms. Handle inventory valuation, manufacturing cost entries, and COGS calculations. Prepare financial reports including Trial Balance, P&L, and Balance Sheet. Issue and monitor Egyptian e-invoices through the ETA portal. Support VAT reporting, audits, month-end closing, and financial reconciliations. Reconcile COD payments, supplier balances, and inventory records. :Job Requirements Bachelor's degree in Accounting, Finance, or related field. 2+ years of accounting experience. Strong knowledge of accounting cycle and double-entry bookkeeping. Hands-on experience with Odoo ERP (Accounting, Inventory, Purchase, Manufacturing). Knowledge of Egyptian VAT and e-Invoice regulations. Experience with Shopify/eCommerce accounting is preferred. Strong Excel, reporting, and reconciliation skills. <p><strong>تفاصيل إضافية</strong></p><ul><li>عدد الشواغر: 1</li><li>نظام الورديات: صباحية فقط</li><li>المزايا: تأمين صحي، تأمين اجتماعي، ساعات إضافية</li></ul>

About The Role<br><br>We are looking for a Senior AI Engineer to design, build, and operate production-grade Generative AI solutions on the Microsoft Azure AI ecosystem. You will be the technical anchor for our Gen AI initiatives, owning the end-to-end lifecycle: from foundation model selection and prompt/RAG architecture through deployment, MLOps, security hardening, and continuous evaluation. This is a hands-on senior role. You will set technical direction, mentor engineers, and work directly with product, data, security, and platform teams to move AI use cases from prototype to reliable, governed, cost-efficient services.<br><br>What You Will Do<br><br> Gen AI solution design and delivery <br><br> Architect and build LLM-powered applications (RAG, agents, copilots, document intelligence, content understanding, conversational systems) using Azure AI Foundry, Azure Open AI, and the broader Azure AI and data portfolio Design retrieval pipelines with Azure AI Search (vector, hybrid, and semantic ranking), including chunking, embedding, indexing, and relevance tuning strategies Evaluate, fine-tune, and deploy foundation and open-source models (e.g., GPT, Phi, Llama, Mistral, Kimi, GLM) through Azure AI Foundry model catalog and Azure Machine Learning Implement prompt engineering, orchestration frameworks (Semantic Kernel, Lang Chain, Prompt Flow, or equivalent), and structured evaluation of model quality, groundedness, and safety<br><br>Platform, MLOps, and productionization<br><br> Build and maintain MLOps/LLMOps pipelines on Azure ML, Github Enterprise: experiment tracking, model registry, CI/CD for models and prompts, automated evaluation, monitoring, and drift/cost management Expose AI capabilities as scalable microservices (Azure Kubernetes Service, Azure Container Apps, Azure Functions, API Management), with attention to latency, throughput, resilience, and cost Establish observability for AI systems: tracing, token/cost telemetry, quality metrics, and feedback loops<br><br>AI security and governance <br><br> Apply Responsible AI and AI security practices: content safety filters, prompt-injection and jailbreak mitigation, data-leakage controls, PII handling, and red-teaming Implement secure architectures using Azure identity (Entra ID, managed identities), private endpoints, Key Vault, network isolation, and data residency controls Contribute to AI governance standards, model risk documentation, and compliance requirements<br><br>Technical leadership <br><br> Define reference architectures, coding standards, and reusable components for Gen AI workloads Mentor and review the work of other engineers; lead design discussions and technical decision-making Partner with stakeholders to translate business problems into feasible, measurable AI solutions and communicate trade-offs clearly Stay current with the rapidly evolving model and tooling landscape and bring practical recommendations to the team<br><br>Requirements<br><br>Required Qualifications <br><br> 8-10+ years of overall experience in AI, machine learning, and data engineering, with a strong track record of delivering production systems Minimum 2-3 years of hands-on experience with Azure AI Foundry (formerly Azure AI Studio) and Azure Open AI Service, including deploying and operating Gen AI applications in production Deep expertise across the Azure AI ecosystem: Azure Machine Learning, Azure AI Search, Azure AI Services (Document Intelligence, Language, Speech, Vision), Fabric and Azure AI Content Safety Strong understanding of LLMs and foundation models: architectures, tokenization, context management, embeddings, fine-tuning (LoRA/PEFT), quantization, and evaluation methods Practical experience with open-source models and frameworks (Hugging Face, Llama, Mistral, Phi, v LLM/ONNX Runtime or similar serving stacks) Proven MLOps/LLMOps experience: CI/CD, model versioning, automated testing and evaluation, monitoring, and rollback strategies Experience designing and building microservices and APIs (containers, Kubernetes, REST/g RPC, event-driven patterns) with Azure Dev Ops or Git Hub Actions Demonstrated knowledge of AI security and Responsible AI: threat modeling for LLM applications (OWASP Top 10 for LLMs), data protection, access control, and safety guardrails Working experience with at least one other cloud provider (AWS or GCP) and their AI/ML services (e.g., Amazon Bedrock, Sage Maker, Vertex AI) Expert-level Python; solid software engineering fundamentals (testing, code review, design patterns, performance optimization) Strong data foundations: SQL, data pipelines, data modeling, and familiarity with Azure data services (Data Factory, Databricks, Synapse, Fabric, Cosmos DB, or equivalent) Excellent communication skills with the ability to explain complex AI concepts to technical and non-technical audiences<br><br>Preferred Qualifications<br><br> Microsoft certifications: AI-102 (Azure AI Engineer Associate), DP-100 (Azure Data Scientist Associate), or AZ-305 Experience with agentic AI patterns, multi-agent orchestration, and tool/function calling (Azure AI Agent Service, Semantic Kernel agents, Auto Gen, or similar) Experience with vector databases beyond Azure AI Search (e.g., Cosmos DB vector search, Postgre SQL pgvector, Pinecone, Weaviate) Background in NLP, computer vision, or speech systems prior to the Gen AI era Experience with model evaluation and observability tooling (Azure AI evaluation SDK, Prompt Flow evaluations, Langfuse, MLflow, Weights & Biases) Familiarity with regulatory and compliance frameworks relevant to AI (GDPR, ISO/IEC 42001, NIST AI RMF, EU AI Act, or regional data protection regulations) Experience operating in regulated industries (financial services, healthcare, government) or large-enterprise environments Contributions to open-source projects, publications, or technical community engagemen<br><br>Key Competencies <br><br> Ownership and delivery focus in ambiguous, fast-moving environments Systems thinking: balancing model quality, latency, cost, security, and maintainability Pragmatism about when Gen AI is (and is not) the right tool Mentorship and collaborative technical leadership<br><br>What We Offer<br><br>Competitive market compensation and benefits.<br><br> Opportunity to shape the AI platform and standards for a fast growing startup in UAE Access to Azure and partner resources, certifications, and continuous learning budget Travel

Connectalents, the leading recruitment and HR solutions company in the MENA region, is seeking to hire a Shipping Specialist For one of the world's leading fashion retailers, operating across multiple international markets and recognized for its commitment to quality, innovation, sustainability, and operational excellence. The company offers a dynamic global environment that fosters collaboration, continuous improvement, and professional growth.<br>Job Role Manage end-to-end shipping operations, ensuring timely and compliant product deliveries. Coordinate with freight forwarders, suppliers, and logistics partners to ensure smooth shipment execution. Ensure shipping documentation complies with local and international regulations. Monitor transportation performance and identify opportunities for cost optimization and process improvement. Oversee packing standards and ensure compliance with global packaging requirements. Build strong relationships with suppliers through regular communication, training, and operational support. Collaborate with cross-functional teams to resolve shipping and packing issues while driving continuous improvement initiatives. What We Need Bachelor's degree.10-15 years of experience in Shipping, Logistics, Supply Chain, or Freight Forwarding. Strong knowledge of international shipping procedures, customs documentation, and transportation operations. Experience managing freight forwarders, logistics providers, and supplier relationships. Experience in Custom Clearance. Good understanding of packing standards and supply chain operations. Strong analytical, communication, and stakeholder management skills. Very Good command of the English language.<br>Preferred Background Candidates with experience in one or more of the following are highly preferred:Apparel & Fashion Retail. Freight Forwarding companies managing apparel accounts. FMCG or Export Logistics.<br>Why Join Us? Join a global retail organization with international exposure. Work with global suppliers and cross-functional teams. Be part of a dynamic environment focused on operational excellence. Competitive compensation and attractive benefits.<br>How To Apply Please send your updated CV to M.tantawy@connectalents.com with the subject line "Shipping Specialist."

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About the Role We are looking for a Senior AI Engineer to design, build, and operate production-grade Generative AI solutions on the Microsoft Azure AI ecosystem.<br> You will be the technical anchor for our GenAI initiatives, owning the end-to-end lifecycle: from foundation model selection and prompt/RAG architecture through deployment, MLOps, security hardening, and continuous evaluation.<br> This is a hands-on senior role.<br> You will set technical direction, mentor engineers, and work directly with product, data, security, and platform teams to move AI use cases from prototype to reliable, governed, cost-efficient services.<br> What You Will do GenAI solution design and delivery • Architect and build LLM-powered applications (RAG, agents, copilots, document intelligence, content understanding, conversational systems) using Azure AI Foundry, Azure OpenAI, and the broader Azure AI and data portfolio .<br> • Design retrieval pipelines with Azure AI Search (vector, hybrid, and semantic ranking), including chunking, embedding, indexing, and relevance tuning strategies.<br> • Evaluate, fine-tune, and deploy foundation and open-source models (e.<br>g., GPT, Phi, Llama, Mistral, Kimi, GLM) through Azure AI Foundry model catalog and Azure Machine Learning.<br> • Implement prompt engineering, orchestration frameworks (Semantic Kernel, LangChain, Prompt Flow, or equivalent), and structured evaluation of model quality, groundedness, and safety.<br> Platform, MLOps, and productionization • Build and maintain MLOps/LLMOps pipelines on Azure ML, Github Enterprise: experiment tracking, model registry, CI/CD for models and prompts, automated evaluation, monitoring, and drift/cost management.<br> • Expose AI capabilities as scalable microservices (Azure Kubernetes Service, Azure Container Apps, Azure Functions, API Management), with attention to latency, throughput, resilience, and cost.<br> • Establish observability for AI systems: tracing, token/cost telemetry, quality metrics, and feedback loops.<br> AI security and governance • Apply Responsible AI and AI security practices: content safety filters, prompt-injection and jailbreak mitigation, data-leakage controls, PII handling, and red-teaming.<br> • Implement secure architectures using Azure identity (Entra ID, managed identities), private endpoints, Key Vault, network isolation, and data residency controls.<br> • Contribute to AI governance standards, model risk documentation, and compliance requirements.<br> Technical leadership • Define reference architectures, coding standards, and reusable components for GenAI workloads.<br> • Mentor and review the work of other engineers; lead design discussions and technical decision-making.<br> • Partner with stakeholders to translate business problems into feasible, measurable AI solutions and communicate trade-offs clearly.<br> • Stay current with the rapidly evolving model and tooling landscape and bring practical recommendations to the team.<br> Required Qualifications • 8–10+ years of overall experience in AI, machine learning, and data engineering, with a strong track record of delivering production systems.<br> • Minimum 2–3 years of hands-on experience with Azure AI Foundry (formerly Azure AI Studio) and Azure OpenAI Service, including deploying and operating GenAI applications in production.<br> • Deep expertise across the Azure AI ecosystem: Azure Machine Learning, Azure AI Search, Azure AI Services (Document Intelligence, Language, Speech, Vision), Fabric and Azure AI Content Safety.<br> • Strong understanding of LLMs and foundation models: architectures, tokenization, context management, embeddings, fine-tuning (LoRA/PEFT), quantization, and evaluation methods.<br> • Practical experience with open-source models and frameworks (Hugging Face, Llama, Mistral, Phi, vLLM/ONNX Runtime or similar serving stacks).<br> • Proven MLOps/LLMOps experience: CI/CD, model versioning, automated testing and evaluation, monitoring, and rollback strategies.<br> • Experience designing and building microservices and APIs (containers, Kubernetes, REST/gRPC, event-driven patterns) with Azure DevOps or GitHub Actions.<br> • Demonstrated knowledge of AI security and Responsible AI: threat modeling for LLM applications (OWASP Top 10 for LLMs), data protection, access control, and safety guardrails.<br> • Working experience with at least one other cloud provider (AWS or GCP) and their AI/ML services (e.<br>g., Amazon Bedrock, SageMaker, Vertex AI).<br> • Expert-level Python; solid software engineering fundamentals (testing, code review, design patterns, performance optimization).<br> • Strong data foundations: SQL, data pipelines, data modeling, and familiarity with Azure data services (Data Factory, Databricks, Synapse, Fabric, Cosmos DB, or equivalent).<br> • Excellent communication skills with the ability to explain complex AI concepts to technical and non-technical audiences.<br> Preferred Qualifications • Microsoft certifications: AI-102 (Azure AI Engineer Associate), DP-100 (Azure Data Scientist Associate), or AZ-305.<br> • Experience with agentic AI patterns, multi-agent orchestration, and tool/function calling (Azure AI Agent Service, Semantic Kernel agents, AutoGen, or similar).<br> • Experience with vector databases beyond Azure AI Search (e.<br>g., Cosmos DB vector search, PostgreSQL pgvector, Pinecone, Weaviate).<br> • Background in NLP, computer vision, or speech systems prior to the GenAI era.<br> • Experience with model evaluation and observability tooling (Azure AI evaluation SDK, Prompt Flow evaluations, Langfuse, MLflow, Weights &amp; Biases).<br> • Familiarity with regulatory and compliance frameworks relevant to AI (GDPR, ISO/IEC 42001, NIST AI RMF, EU AI Act, or regional data protection regulations).<br> • Experience operating in regulated industries (financial services, healthcare, government) or large-enterprise environments.<br> • Contributions to open-source projects, publications, or technical community engagemen Key Competencies • Ownership and delivery focus in ambiguous, fast-moving environments • Systems thinking: balancing model quality, latency, cost, security, and maintainability • Pragmatism about when GenAI is (and is not) the right tool • Mentorship and collaborative technical leadership What We Offer Competitive market compensation and benefits.<br> • Opportunity to shape the AI platform and standards for a fast growing startup in UAE.<br> • Access to Azure and partner resources, certifications, and continuous learning budget Travel.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Mozn MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.<br> We’re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence.<br> Our culture is built on the relentless pursuit of excellence and meaningful impact.<br> If you’re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.<br> About the role We are looking for a highly motivated AI Infrastructure Engineer III to join our Cloud Engineering team.<br> The ideal candidate is passionate about building scalable AI infrastructure that enables machine learning engineers and data scientists to efficiently develop, train, deploy, and operate AI models.<br> This role focuses on designing, operating, automating, and continuously improving AI platform capabilities including Kubeflow, MLflow, GPU infrastructure, distributed training platforms, model serving infrastructure, and MLOps tooling across cloud-native and hybrid environments.<br> The ideal candidate possesses deep expertise in AI infrastructure and GPU platforms.<br> Kubernetes and cloud platform experience are essential enablers, but the primary focus is building highly optimized infrastructure for AI and machine learning workloads.<br> What you'll do AI Platform Engineering Design, deploy, and operate enterprise AI/ML platforms.<br> Build self-service platforms for Data Scientists and ML Engineers.<br> Deploy and operate Kubeflow, MLflow, KServe, Ray, or similar AI platforms.<br> Design infrastructure supporting model training, experimentation, feature engineering, and inference.<br> Build highly available and scalable model serving infrastructure.<br> GPU Infrastructure Design and operate GPU clusters for large-scale AI workloads.<br> Optimize GPU scheduling, utilization, sharing, autoscaling, and resource allocation.<br> Deploy and manage NVIDIA GPU Operator and GPU-enabled Kubernetes environments.<br> Optimize distributed GPU training performance across multi-node clusters.<br> Troubleshoot AI infrastructure performance bottlenecks.<br> MLOps &amp; Platform Automation Build CI/CD pipelines for ML workloads.<br> Automate AI infrastructure provisioning using Infrastructure as Code.<br> Implement monitoring and observability for GPU utilization, model serving, training jobs, and inference latency.<br> Collaborate closely with Data Science teams to improve platform usability, performance, and reliability.<br> You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space You will be given a lot of responsibility and trust.<br> We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves 4-6 years of experience in AI Infrastructure, MLOps, Platform Engineering, or Cloud Engineering.<br> Strong hands-on experience with Kubernetes.<br> Experience with Kubeflow, MLflow, or similar ML platform technologies.<br> Experience operating GPU infrastructure for AI workloads.<br> Strong understanding of NVIDIA GPU technologies, CUDA fundamentals, and GPU optimization.<br> Experience supporting distributed training workloads.<br> Experience with model serving platforms such as KServe, Triton Inference Server, Ray Serve, or similar.<br> Experience with AWS, GCP, OCI, or Azure AI platforms.<br> Experience automating infrastructure using Terraform, Helm, GitOps, or Ansible.<br> Strong scripting or programming skills in Python, Bash, or Go.<br> Experience with Prometheus, Grafana, OpenTelemetry, ELK/OpenSearch, or equivalent observability platforms.<br> Preferred Qualifications Experience with PyTorch, TensorFlow, Hugging Face, or JAX.<br> Experience with distributed training frameworks such as Ray, DeepSpeed, Horovod, or NCCL.<br> Experience with Vector Databases, LLM infrastructure, RAG architectures, or GenAI platforms.<br> Experience operating inference platforms for large language models.<br> Experience supporting AI research or Data Science teams in production environments.<br> Contributions to Cloud Native, Kubernetes, AI, or ML open-source communities.<br> Cloud, Kubernetes, NVIDIA, or AI/ML certifications are a plus.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Mozn MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.<br> We’re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence.<br> Our culture is built on the relentless pursuit of excellence and meaningful impact.<br> If you’re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.<br> About the role We are looking for a highly motivated AI Infrastructure Engineer III to join our Cloud Engineering team.<br> The ideal candidate is passionate about building scalable AI infrastructure that enables machine learning engineers and data scientists to efficiently develop, train, deploy, and operate AI models.<br> This role focuses on designing, operating, automating, and continuously improving AI platform capabilities including Kubeflow, MLflow, GPU infrastructure, distributed training platforms, model serving infrastructure, and MLOps tooling across cloud-native and hybrid environments.<br> The ideal candidate possesses deep expertise in AI infrastructure and GPU platforms.<br> Kubernetes and cloud platform experience are essential enablers, but the primary focus is building highly optimized infrastructure for AI and machine learning workloads.<br> What you'll do AI Platform Engineering Design, deploy, and operate enterprise AI/ML platforms.<br> Build self-service platforms for Data Scientists and ML Engineers.<br> Deploy and operate Kubeflow, MLflow, KServe, Ray, or similar AI platforms.<br> Design infrastructure supporting model training, experimentation, feature engineering, and inference.<br> Build highly available and scalable model serving infrastructure.<br> GPU Infrastructure Design and operate GPU clusters for large-scale AI workloads.<br> Optimize GPU scheduling, utilization, sharing, autoscaling, and resource allocation.<br> Deploy and manage NVIDIA GPU Operator and GPU-enabled Kubernetes environments.<br> Optimize distributed GPU training performance across multi-node clusters.<br> Troubleshoot AI infrastructure performance bottlenecks.<br> MLOps &amp; Platform Automation Build CI/CD pipelines for ML workloads.<br> Automate AI infrastructure provisioning using Infrastructure as Code.<br> Implement monitoring and observability for GPU utilization, model serving, training jobs, and inference latency.<br> Collaborate closely with Data Science teams to improve platform usability, performance, and reliability.<br> You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space You will be given a lot of responsibility and trust.<br> We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves 4-6 years of experience in AI Infrastructure, MLOps, Platform Engineering, or Cloud Engineering.<br> Strong hands-on experience with Kubernetes.<br> Experience with Kubeflow, MLflow, or similar ML platform technologies.<br> Experience operating GPU infrastructure for AI workloads.<br> Strong understanding of NVIDIA GPU technologies, CUDA fundamentals, and GPU optimization.<br> Experience supporting distributed training workloads.<br> Experience with model serving platforms such as KServe, Triton Inference Server, Ray Serve, or similar.<br> Experience with AWS, GCP, OCI, or Azure AI platforms.<br> Experience automating infrastructure using Terraform, Helm, GitOps, or Ansible.<br> Strong scripting or programming skills in Python, Bash, or Go.<br> Experience with Prometheus, Grafana, OpenTelemetry, ELK/OpenSearch, or equivalent observability platforms.<br> Preferred Qualifications Experience with PyTorch, TensorFlow, Hugging Face, or JAX.<br> Experience with distributed training frameworks such as Ray, DeepSpeed, Horovod, or NCCL.<br> Experience with Vector Databases, LLM infrastructure, RAG architectures, or GenAI platforms.<br> Experience operating inference platforms for large language models.<br> Experience supporting AI research or Data Science teams in production environments.<br> Contributions to Cloud Native, Kubernetes, AI, or ML open-source communities.<br> Cloud, Kubernetes, NVIDIA, or AI/ML certifications are a plus.<br></span> </div>