Model Jobs in Egypt

<p><h4>Description</h4> <p><strong>Job purpose</strong><br> Ensure the successful implementation, coordination, and management of Building Information Modeling (BIM) processes, maintaining quality, accuracy, and compliance with project standards.</p> <h4>Key accountability areas</h4> <p><strong>Software expertise:</strong><br> Utilize advanced software tools such as AutoCAD, REVIT, Naviswork, and BIM 360 to automate repetitive tasks and enhance BIM workflows.</p> <p><strong>Information management:</strong><br> Oversee the management of the Common Data Environment (CDE) to ensure proper storage, sharing, and updating of project information.</p> <p><strong>Standards and compliance:</strong><br> Implement and enforce BIM Execution Plans (BEP) and project-specific protocols to ensure compliance with industry standards.</p> <p><strong>Collaboration:</strong><br> Facilitate regular coordination meetings, ensuring clear communication regarding changes, updates, and expectations to project teams.</p> <p><strong>Project delivery and performance:</strong><br> Ensure the timely and accurate delivery of BIM-related project milestones.<br> Track and report on BIM performance metrics, focusing on efficiency and quality.</p> <p><strong>Coordination of BIM models:</strong><br> Manage and integrate BIM models from various disciplines, utilizing tools like Navisworks or BIM 360 for resolution of conflicts and coordination.</p> <p><strong>Accountability outcomes:</strong><br> Optimize BIM workflows to improve team proficiency, ensuring a smooth process and timely project delivery.</p> <p><strong>Continuous improvement:</strong><br> Identify and implement opportunities to improve BIM processes and workflows to enhance efficiency and accuracy.</p> <p><strong>Communication and training:</strong><br> Ensure all team members understand and follow established BIM workflows and standards, providing necessary guidance and training.</p> <p><strong>Model coordination:</strong><br> Maintain the integrity and consistency of BIM models throughout the project lifecycle, ensuring they reflect the most accurate and updated information.</p> <p><strong>Standards implementation:</strong><br> Enforce compliance with the BIM Execution Plan (BEP), project protocols, and industry standards to ensure consistency and quality across all project stages.</p> <p><strong>Process optimization:</strong><br> Deliver high-quality, clash-free BIM models on time while optimizing workflows for improved team efficiency and model accuracy.</p> <p><strong>Clash detection and resolution:</strong><br> Perform clash detection and resolve conflicts between different systems or disciplines within the BIM models to ensure model integration is smooth and optimized.</p> <h4>Role accountability</h4> <p><strong>HR proficiency:</strong><br> Ability to obtain updated soft and technical skills related to the job.<br> To have a vision and a plan for the career path and how to achieve it.</p> <p><strong>Delivery:</strong><br> Perform the planned activities to meet the operational and development targets as per delivery schedules.<br> Utilize resources effectively to achieve objectives within efficient cost and time.<br> Provide a periodic report formatted by detailing the deviation and execution of planned tasks.</p> <p><strong>Problem-solving:</strong><br> Solve any related problems that arise and escalate any complex operational issues.</p> <p><strong>Quality:</strong><br> Ensure quality requirements to develop effective quality control and processes including specifications for products, processes, or related activities.</p> <p><strong>Business process improvements:</strong><br> Coordinate well-defined written systems, policies, procedures, and seek automation opportunities as much as possible.</p> <p><strong>Compliance:</strong><br> Comply with related policies, procedures, and work instructions.</p> <p><strong>Health, safety and environment:</strong><br> Ensure compliance with relevant safety, quality, and environmental management procedures and controls within defined area of work activity to guarantee safety, legislative compliance, and delivery of high-quality products and services.</p> <h4>Academic qualification</h4> <p>Diploma degree in Electrical Engineering or Electrical Institute.</p> <h4>Work experience</h4> <p>4 to 6 years.</p> <h4>Technical / functional competencies</h4> <p>Project coordination<br> Construction design</p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Position Overview</b></p><p>As the Technical Lead AI &amp; Machine Learning 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. 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. 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.</p><p>Key Responsibilities</p><p>Technical Execution</p><ul><li>Lead the technical implementation of AI and machine learning initiatives aligned with the organization's AI strategy and roadmap.</li><li>Translate product and AI leadership vision into scalable technical solutions.</li><li>Drive engineering best practices, code quality, documentation, and software design across AI projects.</li><li>Collaborate with AI leadership, product managers, software engineers, and data engineers to successfully deliver AI-powered products.</li></ul><p>Machine Learning &amp; Deep Learning</p><ul><li>Design, develop, and optimize machine learning, deep learning, and neural network models for real-world business applications.</li><li>Build predictive models, recommendation systems, forecasting models, anomaly detection solutions, classification systems, and intelligent automation workflows.</li><li>Fine-tune transformer models and other deep learning architectures using modern training techniques.</li></ul><p>Generative AI &amp; Intelligent Systems</p><ul><li>Develop applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, semantic search, embeddings, and prompt engineering.</li><li>Build intelligent workflows integrating LLMs with enterprise systems, vector databases, and external tools.</li><li>Evaluate new AI technologies and recommend practical adoption opportunities.</li><li>Deploy and maintain AI models in production environments.</li></ul><p>Production AI &amp; MLOps</p><ul><li>Ensure AI systems are reliable, secure, efficient, and maintainable.</li></ul><p>Mentorship &amp; Innovation</p><ul><li>Mentor AI engineers and junior machine learning engineers through technical guidance, code reviews, and knowledge sharing.</li><li>Promote engineering excellence, continuous learning, and adoption of modern AI development practices.</li><li>Support technical interviews and onboarding of new team members.</li><li>Stay current with emerging developments in artificial intelligence, machine learning, deep learning, and generative AI.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>6+ years of experience developing and deploying production AI and machine learning solutions.</li><li>Demonstrated experience leading the technical implementation of AI/ML projects.</li><li>Strong proficiency in Python and data science libraries including NumPy, pandas, scikit-learn, and related tools.</li><li>Strong understanding of statistics, machine learning algorithms, feature engineering, and model evaluation.</li><li>Strong knowledge of neural networks, transformer architectures, and modern deep learning techniques.</li><li>Experience building applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and prompt engineering.</li><li>Experience with NLP, document intelligence, semantic search, embeddings, information extraction, and named entity recognition.</li><li>Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field is preferred.</li><li>Experience deploying AI services using cloud platforms and modern software engineering practices.</li><li>Familiarity with vector databases, search technologies, and MLOps practices.</li></ul><p></p></section>

‏⁦We are hiring senior fashion content creation Responsibilities: Create and manage monthly performance reports, analyzing metrics and providing actionable insights Design and execute visually compelling social media campaigns that align with the brands identity. Develop high-quality content tailored for all social media platforms Regularly post and manage content across all social channels. Participate in product and video shoots as needed. <br>Requirements: 3 -4 years of experience in content creation Proficiency in English, with strong writing, editing, and research skills. Highly creative, with a strong artistic sense and a keen eye for design. Detail-oriented and committed to delivering exceptional quality. Shares and embodies the brand's aesthetic and vision. <br> Hybrid Mode<br> New Cairo <br> If you are interested, send your CV & Portfolio

Position: Customer Service & Moderator Location: Fifth Settlement Golden Square Company: Ordinary Products Employment Type: Internship/Fulltime<br>About Us:Ordinary Product is an Egyptian fashion company specializing in premium everyday apparel and essential wardrobe categories. The brand focuses on consistent quality, functional design, and scalable production, delivering products built for longevity and wide market relevance. With a disciplined approach to product development and retail execution, Ordinary Product operates across physical and digital channels, positioning itself as a growing player in the regional fashion and lifestyle market.<br>Responsibilities:- Communicate with customers via phone, email, and chat to answer questions about our products, pricing, and availability- Upsell products and services in a professional and honest manner- Work with internal departments to meet customer needs and resolve issues- Enter data accurately into various platforms- Manage conflict with objectivity and professionalism, and escalate issues as needed- Document all customer interactions and update customer accounts as needed- Oversee customer payments, apply appropriate discounts, issue refunds, and facilitate exchanges- Maintain a positive attitude and enthusiastic demeanor to contribute effectively to team efforts and provide customers with the highest level of service- Maintain a clean, organized workspace and remain focused during all shifts<br><br>Requirements- English level : B1+,B2- Excellent phone etiquette and verbal, written, and interpersonal skills- Ability to multitask, organize, and prioritize work- Cool-tempered and able to handle rejection- Outstanding negotiation skills with the ability to address complaints and resolve issues- Working knowledge of Excel, MS Word, Outlook, and the internet<br>How to Apply If you are ready to contribute to our growing team, we would love to hear from you! Please submit your resume and a cover letter to hr@ordinaryproduct.com with the subject line "CS/Moderator Representative."

Position: Customer Service & Moderator Location: Fifth Settlement Golden Square Company: Ordinary Products Employment Type: Fulltime<br>About Us:<br>Ordinary Product is an Egyptian fashion company specializing in premium everyday apparel and essential wardrobe categories. The brand focuses on consistent quality, functional design, and scalable production, delivering products built for longevity and wide market relevance. With a disciplined approach to product development and retail execution, Ordinary Product operates across physical and digital channels, positioning itself as a growing player in the regional fashion and lifestyle market.<br>Responsibilities:<br>- Communicate with customers via phone, email, and chat to answer questions about our products, pricing, and availability- Upsell products and services in a professional and honest manner- Work with internal departments to meet customer needs and resolve issues- Enter data accurately into various platforms- Manage conflict with objectivity and professionalism, and escalate issues as needed- Document all customer interactions and update customer accounts as needed- Oversee customer payments, apply appropriate discounts, issue refunds, and facilitate exchanges- Maintain a positive attitude and enthusiastic demeanor to contribute effectively to team efforts and provide customers with the highest level of service- Maintain a clean, organized workspace and remain focused during all shifts<br><br>Requirements<br>- English level : B1+,B2- Excellent phone etiquette and verbal, written, and interpersonal skills- Ability to multitask, organize, and prioritize work- Cool-tempered and able to handle rejection- Outstanding negotiation skills with the ability to address complaints and resolve issues- Working knowledge of Excel, MS Word, Outlook, and the internet<br>How to Apply<br>If you are ready to contribute to our growing team, we would love to hear from you! Please submit your resume and a cover letter to hr@ordinaryproduct.com with the subject line "CS/Moderator Representative."

Position: Customer Service & Moderator Location: Fifth Settlement Golden Square Company: Ordinary Products Employment Type: Fulltime<br>About Us:Ordinary Product is an Egyptian fashion company specializing in premium everyday apparel and essential wardrobe categories. The brand focuses on consistent quality, functional design, and scalable production, delivering products built for longevity and wide market relevance. With a disciplined approach to product development and retail execution, Ordinary Product operates across physical and digital channels, positioning itself as a growing player in the regional fashion and lifestyle market.<br>Responsibilities:- Communicate with customers via phone, email, and chat to answer questions about our products, pricing, and availability- Upsell products and services in a professional and honest manner- Work with internal departments to meet customer needs and resolve issues- Enter data accurately into various platforms- Manage conflict with objectivity and professionalism, and escalate issues as needed- Document all customer interactions and update customer accounts as needed- Oversee customer payments, apply appropriate discounts, issue refunds, and facilitate exchanges- Maintain a positive attitude and enthusiastic demeanor to contribute effectively to team efforts and provide customers with the highest level of service- Maintain a clean, organized workspace and remain focused during all shifts<br>Requirements- English level : B1+,B2- Excellent phone etiquette and verbal, written, and interpersonal skills- Ability to multitask, organize, and prioritize work- Cool-tempered and able to handle rejection- Outstanding negotiation skills with the ability to address complaints and resolve issues- Working knowledge of Excel, MS Word, Outlook, and the internet<br>How to Apply If you are ready to contribute to our growing team, we would love to hear from you! Please submit your resume and a cover letter to hr@ordinaryproduct.com with the subject line "CS/Moderator Representative."

<p>The Resource Management Operation Specialist team delivers end-to-end analytics solutions across a wide range of internal data domains, covering resource management, data ingestion and transformation through to dashboard and analytics consumption, with the people data domain being a key area of focus. While end-user outputs include dashboards and ad-hoc analytics, these are underpinned by centrally managed production data pipelines and curated data assets. The team builds and maintains these centrally owned assets for use across the business, ensuring solutions are consistent, reusable, and straightforward to support over time. As part of the Resource Management Operation Specialist, the candidate will need to be focused on back-end data engineering and data model design, contributing to the development and operation of production data pipelines and data assets. Work is delivered primarily in Databricks using PySpark and Spark SQL, with a strong emphasis on quality, reusability, and long-term sustainability.</p><p>Scope of responsibility</p><p>The role will be responsible for the following activities:</p><ul><li>Resource Management Operation Stakeholder management, communication, and organization</li><li>Designing and evolving data models and pipeline architectures that support analytics and reporting use cases.</li><li>Building and maintaining production-grade data pipelines in Databricks using PySpark and Spark SQL.</li><li>Supporting production data pipelines by investigating data defects or failures when raised, performing root cause analysis, and implementing permanent fixes.</li><li>Translating problem statements and reporting needs into well-structured data solutions, operating with minimal guidance.</li><li>Working with the internal team and, where appropriate, business stakeholders to clarify data requirements from a data model and engineering perspective.</li><li>Championing well-designed, consistent data models that enable reliable downstream analytics and reduce duplication.</li><li>Contributing to shared engineering standards through code review, reusable utilities, and common design patterns</li><li>Producing clear code-level documentation and contributing to shared technical documentation to support knowledge transfer and long-term maintainability.</li><li>Managing code in Git-based version-controlled environments.</li></ul><p>Required technical capability</p><p>The role requires strong, hands-on experience in:</p><ul><li>Resource Management</li><li>Data engineering using Databricks, with practical experience in PySpark and Spark SQL.</li><li>Designing data models optimised for analytics and reporting consumption.</li><li>Building, operating, and improving production data pipelines in an enterprise environment.</li><li>Using Git for version control, including managing branches, pull requests, and participating in code reviews.</li><li>Writing and maintaining clear, well-structured code suitable for long-term ownership and reuse.</li><li>Broader Python development to support data engineering workflows beyond core transformations.</li><li>Working alongside downstream analytics tools such as Power BI, with sufficient understanding to ensure data models support efficient consumption (without owning dashboard or semantic model development).</li></ul><p><strong>Desired Candidate Profile</strong></p><p>The role requires strong, hands-on experience in:</p><ul><li>Resource Management</li><li>Data engineering using Databricks, with practical experience in PySpark and Spark SQL.</li><li>Designing data models optimised for analytics and reporting consumption.</li><li>Building, operating, and improving production data pipelines in an enterprise environment.</li><li>Using Git for version control, including managing branches, pull requests, and participating in code reviews.</li><li>Writing and maintaining clear, well-structured code suitable for long-term ownership and reuse.</li><li>Broader Python development to support data engineering workflows beyond core transformations.</li><li>Working alongside downstream analytics tools such as Power BI, with sufficient understanding to ensure data models support efficient consumption (without owning dashboard or semantic model development).</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Develop and review BIM architectural models using Revit. Prepare, update, and review working drawings and construction documentation. Produce accurate architectural details in line with project requirements. Coordinate with Structural, MEP, and BIM teams throughout the project lifecycle. Support project delivery by ensuring BIM standards, model quality, and project deadlines are met. Collaborate with team members and contribute to the successful execution of multiple projects.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's Degree in Architectural Engineering.</li><li>3 10 years of experience in BIM Architecture.</li><li>Strong proficiency in Revit.</li><li>Experience in developing and reviewing BIM models and working drawings.</li><li>Strong architectural detailing and design development skills.</li><li>Good coordination skills with Structural, MEP, and BIM teams.</li><li>Experience leading or mentoring junior team members is a plus.</li><li>AutoCAD knowledge is preferred.</li><li>Good command of Microsoft Office.</li></ul><p></p></section>

<h2>Full Job Description</h2><h2>Role Overview</h2><p>We are hiring for one of our clients, seeking a Crowd Workers — Bilingual to work on a contract basis. This role requires evaluating and rating content, including text, images, video, and audio, for accuracy and relevance. Contributors will assess AI and human-generated outputs to improve model performance and user experience.</p><h2>Key Responsibilities</h2><ul><li>Evaluate and rate content such as text, images, video, and audio for accuracy and relevance.</li><li>Provide detailed feedback on content quality to help refine AI and human-generated outputs.</li><li>Follow guidelines to ensure consistent and objective assessments across different content types.</li><li>Contribute to improving model performance and user experience through structured feedback.</li><li>Work independently with flexible hours while meeting quality and turnaround time standards.</li></ul><h2>Required Skills &amp; Qualifications</h2><ul><li>Proficiency in two or more languages required for bilingual assessment tasks.</li><li>Strong attention to detail to identify inaccuracies or inconsistencies in content.</li><li>Ability to follow structured guidelines and provide clear, actionable feedback.</li><li>Basic understanding of AI or content evaluation principles is helpful but not mandatory.</li><li>Reliable internet connection and ability to work remotely without supervision.</li></ul><h2>More About the Opportunity</h2><p>This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the enhancement of AI systems through human evaluation.</p><p>Projects involve diverse content types to support the development of more accurate and user-friendly models.</p><h2>Equal Opportunity Employer</h2><p>We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.</p>

<p>- Own ML/AI systems end-to-end: data pipelines, model training, serving infrastructure, monitoring, and iteration</p><p>- Build LLM-powered applications with custom pipelines, prompt management, evaluation, and optimization</p><p>- Implement multi-agent orchestration systems using LangGraph, CrewAI, or AutoGen for autonomous workflows</p><p>- Build and optimize RAG pipelines using LlamaIndex with chunking strategies, embedding selection, re-ranking, and evaluation</p><p>- Deploy and manage LLM inference infrastructure using vLLM or Ollama for on-premise sovereign deployments</p><p>- Build traditional ML scoring models: churn prediction, propensity scoring, LTV estimation, next-best-action</p><p>- Design and build feature pipelines using Apache Flink (streaming) and Spark (batch) for real-time and batch ML</p><p>- Implement MLOps practices: model versioning, registry, drift monitoring, A/B testing, and staged rollouts</p><p>- Design and implement AI operators for visual low-code canvas (LLM Gateway, RAG Pipeline, Intent Classifier)</p><p>- Optimize ML inference for latency and throughput at scale (10K+ QPS)</p><p>- Collaborate with Data Engineering and Platform teams to integrate ML systems with data infrastructure</p><p><strong>Requirements</strong></p><p>- 3+ years of hands-on ML/AI engineering with demonstrated end-to-end system ownership</p><p>- Production experience building LLM-powered applications (not just API consumption)</p><p>- Hands-on experience with agent orchestration: LangGraph, CrewAI, or AutoGen in production</p><p>- Production RAG experience with evaluation metrics, hybrid search, and re-ranking strategies</p><p>- Experience building ML models: churn, propensity, LTV, segmentation, recommendation systems</p><p>- Hands-on experience with data pipelines: Spark for batch, Flink or Kafka Streams for real-time</p><p>- Strong Python proficiency: production code structure, async, multiprocessing, profiling, optimization</p><p>- Experience with vector databases at scale: OpenSearch k-NN, Qdrant, or Milvus</p><p>- Production MLOps experience: MLflow, experiment tracking, model registry, drift monitoring</p><p>- Real-time ML inference experience at 1,000+ QPS</p><p></p><p><strong>Good to Have:</strong></p><p>- Experience at AI-first companies or building AI/ML platforms from scratch</p><p>- Telco or enterprise data platform background</p><p>- Experience with LLM fine-tuning: LoRA, QLoRA, PEFT techniques</p><p>- Experience with embedding models: sentence-transformers, fine-tuning for domain</p><p>- Kubernetes for ML workload orchestration and GPU scheduling</p><p>- Knowledge of PII detection (Presidio) and LLM guardrails (NeMo Guardrails)</p><p></p>

<p>Role Purpose Design and deliver AI, data science, and Agentic AI solutions that solve business problems and create measurable value.</p><p>Key Responsibilities Identify AI use cases with business teams. Build machine learning and data science models. Develop GenAI solutions using LLMs, RAG, prompts, and AI agents. Prepare and analyse data for AI use cases. Evaluate model performance and business impact. Support responsible AI, testing, monitoring, and documentation. Explain AI capabilities and limitations in business language.</p><p><strong>Desired Candidate Profile</strong></p><p>Required Skills Python, machine learning, data science, model evaluation, and GenAI tools. Experience with LLMs, RAG, vector databases, APIs, or AI agents. Strong problem-solving and communication skills. Preferred Experience with Azure AI, OpenAI, Copilot Studio, LangChain, LlamaIndex, Flowise, or similar tools.</p>

<p>You will review AI-generated Arabic and English responses and/or generate high-quality bilingual training content, evaluating reasoning quality and step-by-step problem-solving while providing expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This is an hourly paid, fully remote contractor role with flexible work-from-anywhere hours. This job is with SME Careers (a subsidiary of SuperAnnotate), a fast-growing AI Data Services company providing training data for many of the world s largest AI companies and foundation model labs your work directly helps improve the world s premier AI models. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.</p><p>Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. (English proficiency required: Minimum C1)</p><p>Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. (English proficiency required: Minimum C1)</p><p>Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. (English proficiency required: Minimum C1)</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree (or higher) in Linguistics, Translation, Arabic Language, Communications, Journalism, or a related field.</li><li>Native or near-native Arabic proficiency with strong writing and editing skills across Modern Standard Arabic and at least one major dialect (Egyptian Arabic preferred).</li><li>Minimum C1 English proficiency (reading and writing) for bilingual evaluation and instruction adherence.</li><li>3+ years of professional experience in translation, localization, editorial QA, content quality, or linguistic review (or equivalent).</li><li>Excellent attention to detail and ability to apply detailed rubrics consistently in high-volume, hourly contractor work.</li><li>Strong fact-checking habits and comfort validating claims using reputable sources when required by task guidelines.</li><li>Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.</li><li>Comfort working independently in a remote, asynchronous environment with reliable availability and communication.</li><li>Prior experience with AI data training, annotation, or evaluation workflows is strongly preferred.</li><li>Familiarity with Arabic localization conventions for MENA (terminology, formatting, cultural nuance) is preferred.</li></ul>

Our Company<br><br>Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. <br><br>The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment. <br><br>What You’ll Do<br><br>What the role is about:  As a Principal/Staff Data Scientist at Teradata, you will serve as a senior individual contributor responsible for defining analytical approaches, scoping complex data science projects, and delivering high-impact solutions across multiple industries. You will tackle highly complex and ambiguous problems, architect end-to-end data science workflows, and provide deep technical guidance to cross-functional teams—without direct people management responsibilities. What impact this role has:  Your expertise will shape the technical direction of data science initiatives, influence solution design across teams, and help internal and external stakeholders make well-informed decisions. By leveraging advanced modeling, statistical rigor, and deep domain insight, you will ensure that Teradata delivers scalable, high-quality analytical solutions that drive measurable business value for our clients. What success might look like:  Success in this role means independently leading the most challenging parts of data science engagements, producing reliable and scalable solutions, and serving as a trusted technical advisor to product managers, engineers, and business stakeholders. You will be recognized for your ability to translate complex business problems into well-scoped analytical strategies, and for consistently raising the technical bar across the team. <br><br>Who You’ll Work With<br><br>An outline of the team:  You will be part of a collaborative and dynamic data science team that works closely with data engineers, project managers, solution architects, and business stakeholders. You will contribute as a high-level technical expert, helping teams navigate complexity and ensuring that analytical solutions are sound, scalable, and aligned with business needs. The role and the team play at Teradata:  The data science team at Teradata plays a crucial role in transforming data into strategic assets. As a Principal/Staff Data Scientist, you will influence the technical direction of projects, contribute reusable methodologies, and help shape best practices for developing advanced analytical solutions across multiple engagements. Who the position reports to: This position reports to the Data Science Team Manager. <br><br>What Makes You a Qualified Candidate<br><br>Non-negotiable qualifications:<br><br>Minimum of 8 years of experience in data science, machine learning, or applied analytics. Expertise in programming languages such as Python and SQL. Strong understanding of advanced statistical methods, machine learning, deep learning, and Gen AI techniques. Proven ability to scope, architect, and technically lead complex data science projects without direct management responsibilities. Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences. <br><br>What You’ll Bring<br><br>Advanced Data Analysis and Modeling: Perform highly complex data analysis and build sophisticated predictive and prescriptive models using advanced statistical, machine learning, and deep learning techniques. Technical Leadership: Define analytical approaches, scope data science components in partnership with PMs, and lead the technical direction of projects across multiple industries. Cross-Functional Collaboration: Work closely with data engineers, product managers, and business stakeholders to align on requirements, solution direction, and implementation plans. Data Exploration: Explore large and diverse datasets to uncover insights, evaluate feasibility, and guide model and feature design. Model Deployment: Collaborate with engineering teams to implement, optimize, and maintain machine learning models in production environments, ensuring scalability, performance, and reliability. Mentorship: Provide informal technical mentoring, conduct deep code/model reviews, and guide other data scientists in best practices—without direct people management. Communication: Present complex findings, trade-offs, and solution paths to technical teams, business partners, and customer stakeholders in a clear and concise manner. Continuous Improvement: Stay current with emerging data science, machine learning, and Gen AI advancements, applying new techniques to enhance solution quality and accelerate delivery. <br><br><br><br>Why We Think You’ll Love Teradata<br><br>We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.<br><br>Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

Company Description Nimbilan Engineering Services is an infrastructure-focused engineering firm that specializes in delivering high-quality design and BIM solutions for complex projects. The company supports clients across multiple sectors, helping them plan, design, and manage infrastructure assets more efficiently. Using modern digital tools and collaborative processes, Nimbilan Engineering Services aims to improve project accuracy, coordination, and sustainability. Team members work in a professional environment that values technical excellence, continuous learning, and practical innovation. The organization encourages knowledge sharing and offers opportunities to contribute to impactful projects in the region. Role Description The Senior Infrastructure BIM Engineer will lead the development and coordination of BIM models for infrastructure projects, ensuring accuracy, constructability, and compliance with project standards. Responsibilities include managing model setup, geometry, and data, overseeing clash detection and coordination between disciplines, and producing detailed drawings and documentation. The role involves collaborating closely with design engineers, project managers, and external stakeholders to align BIM outputs with project requirements and timelines. The Senior Infrastructure BIM Engineer will also contribute to BIM standards development, mentor junior team members, and support implementation of best practices and new technologies. This is a full-time, on-site role based in Cairo, Egypt. Qualifications Strong experience with BIM authoring and coordination tools for infrastructure projects (e.g., Revit, Civil 3D, Infra Works, Navisworks, or similar). Proficiency in infrastructure design workflows, including roads, utilities, drainage, and related civil engineering components. Ability to manage and maintain complex BIM models, including version control, data integrity, and model structure. Experience performing clash detection, model coordination across disciplines, and resolving design conflicts. Knowledge of BIM standards, protocols, and naming conventions (e.g., ISO 19650 or similar frameworks). Strong analytical and problem-solving skills, with attention to detail and quality in documentation. Effective communication and collaboration skills with multidisciplinary teams and external partners. Ability to mentor and guide junior BIM staff, sharing best practices and supporting skill development. Bachelor’s degree in Civil Engineering, Structural Engineering, or a related field; advanced BIM certifications are an advantage. Experience in infrastructure projects in Egypt or the Middle East region is a plus, along with familiarity with local codes and standards.

At VAES.ai, we’re building more than just a company—we’re shaping the future of technology, research, and sustainable solutions.<br><br>We’re looking for a passionate . Net Developer to join our growing team. Apply here<br><br>What’s it like to work with us?<br><br>✨ Top Talent, Multidisciplinary Teams: Collaborate with designers, researchers, software engineers, and structural experts across borders.<br><br>???? We Build What We Need: From our performance evaluation system to internal tools—we don’t rely on external software. We design what works for us.<br><br>???? Sustainability Is in Our DNA: This isn’t a slogan. VAES was founded with the environment in mind—from how we build to why we exist.<br><br>????️ Stability with Heart: We prioritize long-term growth and people-first decisions. We support our team through every phase of their journey—including when they explore new paths beyond our walls.<br><br>???? Open Channels, Real Leaders: Leadership is accessible and involved. We don’t do the fake open-door thing.<br><br>Responsibilities<br><br>Collaborate with team members to implement best coding practices, including unit testing and code optimization. Support the core engineering team in designing and developing tools to enhance building element efficiency. Work closely with stakeholders to gather requirements and refine software features. Ensure the delivery of scalable, high-performance software solutions. Contribute to a cross-functional team throughout the entire software development life cycle, from initial concept through to deployment. Foster a collaborative team environment, bringing a strong sense of visual design and user utility to the development process. Collaborate with team members to implement best coding practices, including unit testing and code optimization. Support the core engineering team in designing and developing tools to enhance building element efficiency. Work closely with stakeholders to gather requirements and refine software features. Ensure the delivery of scalable, high-performance software solutions. Contribute to a cross-functional team throughout the entire software development life cycle, from initial concept through to deployment. Foster a collaborative team environment, bringing a strong sense of visual design and user utility to the development process.<br><br>Requirements<br><br>Minimum of 5 years of programming with 2 years of experience with . NET (Core, Runtime) framework. Desktop Application Bachelor's degree in computer science, Software Engineering, or related field. Proven ability to design, build, and maintain scalable software systems. Strong understanding of software architecture, system design, and aligning solutions with business goals. Proficient in C#; experience with Python is a plus. Able to write optimized and maintainable code. Experience with MVVM (Model-View-View-Model) pattern and WPF (Windows Presentation Foundation). Solid knowledge of data structures, algorithms, and system optimization. Experience with API integration. Analytical mindset with problem-solving and data-driven decision-making skills. Strong attention to code quality, performance, and reliability. Minimum of 5 years of programming with 2 years of experience with . NET (Core, Runtime) framework. Desktop Application Bachelor's degree in computer science, Software Engineering, or related field. Proven ability to design, build, and maintain scalable software systems. Strong understanding of software architecture, system design, and aligning solutions with business goals. Proficient in C#; experience with Python is a plus. Able to write optimized and maintainable code. Experience with MVVM (Model-View-View-Model) pattern and WPF (Windows Presentation Foundation). Solid knowledge of data structures, algorithms, and system optimization. Experience with API integration. Analytical mindset with problem-solving and data-driven decision-making skills. Strong attention to code quality, performance, and reliability.<br><br>Nice to Have<br><br>Experience with Python alongside C#Experience with RESTful API design and integration. Exposure to Geometry tools or concepts Familiarity with mathematics or data-driven applications Startup or agile development experience Interest or experience in engineering or architecture-related applications Experience with Python alongside C#Experience with RESTful API design and integration. Exposure to Geometry tools or concepts Familiarity with mathematics or data-driven applications Startup or agile development experience Interest or experience in engineering or architecture-related applications

Tech Lead Engineer – Model Context Protocol (MCP) Integration<br>About the Role We are looking for a Tech Lead Engineer to drive the design and implementation of enterprise-grade integrations based on the Model Context Protocol (MCP). This role combines Python backend engineering, protocol design, API governance, authentication, observability, and AI platform integration to enable secure and scalable communication between AI agents, tools, and enterprise services. As a technical leader, you will define architecture standards, guide implementation across engineering teams, and lead the adoption of emerging agent communication protocols in a cloud-native environment. The ideal candidate has deep experience building distributed systems, designing APIs and contracts, implementing secure integrations, and mentoring engineers.<br>Project Overview Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide. Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. Our engineering teams develop core platform components powering best-in-class e Commerce, Digital Marketing, and IoT solutions. As a Tech Lead Engineer, you will become part of the Core Architecture Team, contributing to the design and implementation of a modern Digital Engineering Enterprise Platform. The platform provides engineering teams with reusable services, cloud technologies, governance standards, and operational best practices that accelerate software delivery across more than 700 enterprise applications.<br>Responsibilities Lead the architecture, design, and implementation of MCP-based services and integrations using Python, Fast API, and Fast MCP. Develop and maintain MCP servers, tool adapters, and protocol-compliant integration layers. Design and enforce Canonical Contracts, Open API specifications, and API governance standards. Build secure, scalable integrations with AWS Agent Core Gateway and related AI platform services. Implement enterprise authentication and authorization using OAuth 2.0, JWT, and AWS Signature Version 4 (Sig V4). Design asynchronous APIs and service-to-service communication patterns supporting AI agent ecosystems. Establish observability standards and implement Open Telemetry instrumentation for protocol interactions and service monitoring. Collaborate with AI platform teams to enable agent-to-tool and agent-to-agent communication capabilities. Define best practices for protocol versioning, backward compatibility, testing, and governance. Review architecture, design decisions, and implementation approaches across multiple engineering teams. Support Architecture Review Board (ARB), Information Security (Info Sec), and compliance processes. Mentor engineers and provide technical leadership for enterprise MCP adoption initiatives. Produce technical documentation, implementation guides, reference architectures, and engineering standards.<br>Requirements Bachelor's degree in computer science, Software Engineering, or a related field.5+ years of professional Python backend engineering experience. Hands-on experience implementing Model Context Protocol (MCP) servers or comparable protocol-based integration frameworks. Strong experience developing RESTful and asynchronous APIs using Fast API or similar Python frameworks. Experience building applications with Fast MCP or equivalent MCP tooling. Experience integrating with AWS Agent Core Gateway or similar AI platform integration services. Strong knowledge of API design, Canonical Contracts, and Open API specification development. Experience implementing enterprise authentication and authorization using OAuth 2.0, JWT, and AWS Sig V4. Experience implementing observability using Open Telemetry or similar monitoring frameworks. Strong understanding of distributed systems, cloud-native architecture, and service integration patterns. Excellent leadership, mentoring, communication, and stakeholder management skills. Nice to Have Experience with AWS Agent Core Gateway or other enterprise AI integration platforms. Experience with AI agent frameworks such as Lang Graph, Strands, or similar technologies. Experience supporting enterprise governance processes, including Architecture Review Boards (ARB) and Information Security (Info Sec) reviews. Experience with CI/CD pipelines, Infrastructure as Code (IaC), and cloud-native deployment practices. Familiarity with AI agent ecosystems, tool orchestration, and emerging agent communication standards.<br>Why Join UsLead the adoption of the Model Context Protocol (MCP) across enterprise-scale AI platforms. Design and build secure, scalable integrations for next-generation AI agent ecosystems. Work with cutting-edge AWS Agent Core technologies, cloud-native architectures, and modern API standards. Collaborate with experienced AI, platform, cloud, and security engineering teams on global-scale initiatives. Shape engineering standards, protocol governance, and the future of enterprise AI integrations.

About us Chipverse runs GPU bare-metal infrastructure in Egypt, serving AI and engineering teams. Beyond rentals, we deliver on-prem AI deployments and custom model training for clients.<br>The role Broad, hands-on AI engineering across the LLM stack - training, evaluation, and deployment. The work varies with client and company needs; we need someone who can handle whatever the stack throws at them.<br>What we expect you to know Strong computer science and software engineering foundation, with experience delivering production-grade AI systems LLM training and fine-tuning (full-parameter and LoRA/QLoRA, multi-GPU) Building training datasets from raw, messy real-world data - cleaning, structuring, and validating it into something a model can learn from RAG systems design and implementation Model evaluation and benchmarking methodology - designing custom evaluations for output quality and performance, knowing what to measure and why, not just running leaderboard scripts<br>Good to have Under-the-hood understanding: memory management, quantization, inference optimization - why things run fast or slow. No CUDA kernel writing here, but knowing how transformers work below the library level sets you apart<br>We're not looking for someone who glues APIs together, but someone with deep understanding who can make the right calls when the input is vague and the path isn't laid out.<br>Terms Flexible hybrid (Cairo)3-month contract, extendable to full-time

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Advansys is looking for a Junior Machine Learning Engineer to join our dynamic team.<br> This is an excellent opportunity for recent graduates or individuals with foundational experience in machine learning to advance their careers in a supportive and innovative environment.<br> You will assist in the development, implementation, and monitoring of machine learning models and algorithms.<br> Key responsibilities include: Assisting in the design and implementation of machine learning models under the guidance of senior engineers.<br> Conducting data cleaning and preprocessing to prepare datasets for training models.<br> Supporting the evaluation and fine-tuning of machine learning algorithms.<br> Collaborating with cross-functional teams to understand project requirements and objectives.<br> Documenting processes, model training, and outcomes clearly and comprehensively.<br> Staying updated with industry trends and best practices in machine learning and AI.<br> Participating in team meetings and contributing to brainstorming sessions.<br> Hybrid working model Social and medical insurance Transportation Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.<br> Basic understanding of machine learning concepts and algorithms.<br> Familiarity with programming languages such as Python or R, and experience with ML libraries (e.<br>g., scikit-learn, TensorFlow, or Keras).<br> Experience with data manipulation and analysis tools such as Pandas and NumPy.<br> Strong analytical and problem-solving skills.<br> Good communication skills and the ability to work effectively in a team environment.<br> Enthusiasm for learning new technologies and techniques in AI/ML.<br> Internship or project experience in machine learning or data analysis is a plus.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> AI Engineer — Role Overview<p>We're looking for an <strong>AI Engineer</strong> who is, first and foremost, a <strong>strong software engineer</strong> — someone with real backend fundamentals who then uses AI agents, LLMs, and tools like Claude as a force multiplier for <strong>full-stack, AI-assisted development</strong>. We are still software engineers. AI accelerates <i>how</i> we build; it does not replace <i>knowing how to build</i>.</p><br><p>The wrong candidate is an "AI-only" profile who can prompt but can't reason about a data model, a transaction boundary, or a race condition. The right candidate could hold their own on the engineering team without AI in the room — and is exceptional <i>with</i> it, shipping across the full stack faster than a traditional workflow allows.</p><br><p>You'll work on a modern hospitality platform: a <strong>NestJS / TypeScript</strong> API backed by <strong>MariaDB</strong>, with a <strong>React / TypeScript</strong> frontend, built with a database-first architecture and heavy use of AI-assisted development workflows.</p><br>What Makes the Ideal Candidate<p><strong>Strong software engineer with backend depth (the core requirement).</strong> Solid command of fundamentals — API design, service architecture, layered/clean design (controller → service → repository), separation of concerns, concurrency, error handling, testing, and performance. Writes production-grade code that is correct, maintainable, and holds up under change. This is the non-negotiable foundation everything else sits on.</p><br><p><strong>Real database competence.</strong> Comfortable with schema design, query optimization, transactions and isolation levels, indexing, stored procedures, and data modeling. Understands <i>why</i> a query is slow or a write is unsafe — not just how to make the error disappear.</p><br><p><strong>Fluent in full-stack, AI-assisted development.</strong> On top of strong engineering, knows how to drive agentic workflows with Claude and LLMs across the whole stack — backend, frontend, and data layer. Decomposes work, orchestrates tools, structures context, and validates output. Picks the right model and pattern for the job, and knows where AI genuinely helps versus where it introduces risk — while always owning the correctness of what ships.</p><br><p><strong>Deeply curious about what happens behind the scenes (the differentiator).</strong> Doesn't stop at "it works." Wants to understand the mechanics on both sides — how the runtime, framework, ORM/driver, and data layer actually behave underneath the abstractions, and how tokens, context windows, tool-calling, retrieval, and model behavior work under the hood. This is what separates an engineer who can <i>fix</i> a system from one who can only <i>use</i> it. We value the <i>why</i> over the <i>that</i>.</p><br><p><strong>Strong debugging instincts.</strong> Given a failure, a stack trace, or "it works locally but not in prod," reproduces, isolates, and diagnoses methodically — forming hypotheses and following evidence to root cause instead of guessing.</p><br><p><strong>Genuinely eager to learn.</strong> The landscape shifts monthly. Stays curious, absorbs new tools and techniques quickly, and treats unfamiliar problems as a chance to level up.</p><br>Responsibilities<ul><li>Design, build, and maintain features across the <strong>full stack</strong> — <strong>NestJS / TypeScript</strong> on the backend, <strong>React / TypeScript</strong> on the frontend — following the project's layered architecture and quality standards.</li><li>Model and query data in <strong>MariaDB</strong> — schemas, migrations, stored procedures, and performant, safe queries.</li><li>Use AI agents and Claude to accelerate delivery: scaffolding, refactoring, test generation, and code review — while owning the correctness of everything that ships.</li><li>Debug and root-cause issues end to end, from the frontend and API down to the data layer and the AI-assisted workflows themselves.</li><li>Write tests and uphold quality gates so features are correct and maintainable, not just "done."</li><li>Review code (yours, teammates', and AI-generated) with an engineer's eye for architecture, safety, and data integrity.</li><li>Continuously improve how the team leverages AI tooling — without ever lowering the engineering bar.</li></ul>Required<ul><li>Strong software engineering fundamentals with solid backend experience (Node.js / TypeScript preferred; NestJS a plus).</li><li>Solid relational database skills — SQL, schema design, transactions, indexing, query optimization (MariaDB / MySQL a plus).</li><li>Hands-on experience using AI coding tools / agents (Claude, LLM-based assistants) in a real, full-stack workflow.</li><li>Genuine debugging ability — methodical reproduction, isolation, and root-cause analysis.</li><li>Real interest in understanding the concepts <i>underneath</i> the tools, not just the tools themselves.</li><li>Curiosity and a fast, self-driven learning habit.</li></ul>Nice to Have<ul><li>Experience with agentic / multi-agent orchestration, tool-calling, RAG, or LLM output validation.</li><li>Frontend depth with React / TypeScript.</li><li>Experience with database-first architectures and stored-procedure-heavy systems.</li><li>Awareness of prompt/context engineering and model-selection trade-offs (cost, latency, capability).</li><li>Experience modernizing or migrating legacy systems.</li></ul>In Short<p>A <strong>strong full-stack software engineer</strong> who thinks in clean architecture, reasons about data like a DBA, debugs like a detective, and leverages AI and agents as a power tool for full-stack delivery — someone who always understands <i>why</i> things work under the hood, never just <i>that</i> they do.</p><br> </div>

About Our Client:A leading Saudi Engineering & Design Consultancy ???????? with a strong regional footprint, specializing in large-scale, complex architectural and multidisciplinary projects across Egypt and the Gulf.<br>???? Job Details & Working Conditions:Job Title: Revit Architectural Designer Department: Architecture Location: Nasr City, Cairo ????Working Hours: 9:00 AM – 6:00 PM (with 1 hour Lunch break included).(Sun–Thu) ????️ <br>???? Core Responsibilities:• Produce detailed Revit Architecture models and full drawing packages across all design phases (SD, DD, and IFC).• Develop architectural floor plans, sections, elevations, details, and schedules.• Coordinate directly with BIM Coordinators on model setups, worksets, and shared parameters.• Respond promptly to technical design feedback and direction from Riyadh Senior Architects.• Ensure full compliance with BIM standards, model quality control, and clash detection protocols.<br>???? Requirements & Qualifications:• Education: B. Sc. in Architecture (Mandatory).• Experience: 5+ years of hands-on experience in Revit Architecture modeling within an architectural consultancy firm.• Technical Skills: High proficiency in Revit Architecture & Auto CAD for detailed drawing production.• BIM Awareness: Strong understanding of worksets, shared parameters, coordination views, and clash detection.• Languages: Good command of English & Arabic.