Librarian Jobs in Egypt 2026

Bayt

Senior .Net Developer

On-site - Egypt 17 July 2026

Information Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Who we are VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation. As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability. We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal. #VOIS #BeUnrivalled #CreateTheFuture About this Role We are seeking an experienced Senior .Net Developer to design, develop, and enhance advanced software applications within a collaborative technology environment. This role is ideal for an individual with 4–6 years of .Net experience, strong knowledge of object-oriented and functional programming concepts, and hands-on experience with .Net, unit testing, REST APIs, JSON, and system design fundamentals. The successful candidate will take ownership of medium-to-large features throughout the full development lifecycle while contributing to technical excellence and continuous improvement. What you’ll do <ul> <li>Develop and build advanced software applications. </li> <li>Review code developed by team members to maintain quality and consistency. </li> <li>Own medium-to-large features from technical design through to successful delivery. </li> <li>Perform unit testing for developed modules and support quality assurance activities. </li> <li>Apply understanding of platform constraints when designing and implementing solutions.</li> <li> Participate in recruitment processes as a technical interviewer.  </li> <li> Improve team efficiency through automation, reusable components, and templates.  </li> <li> Contribute to open-source components on behalf of the team. </li> <li> Troubleshoot and resolve issues raised by customers or testing teams.  </li> <li> Maintain clear and comprehensive technical documentation. </li> </ul> Who you are <ul> <li>4–6 years of professional software .Net development experience. </li> <li>Strong understanding of Object-Oriented Programming (OOP) and Functional Programming principles. </li> <li>Practical experience with unit testing and mocking frameworks/concepts. </li> <li>Experience working with remote data using REST APIs and JSON. </li> <li>Experience integrating third-party libraries and APIs. </li> <li>Understanding of system design fundamentals.</li> <li>Ability to collaborate effectively with cross-functional teams and contribute to code quality initiatives.</li> </ul> Not a perfect fit? Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best. What's in it for you <ul> <li>Opportunity to own and deliver significant software features from design through implementation.</li> <li>Exposure to code reviews, technical interviewing, and engineering best practices.</li> <li>Experience contributing to reusable frameworks, automation initiatives, and open-source projects.</li> <li>Collaborative environment that promotes continuous learning and technical development.</li> <li>Opportunity to work on customer-facing solutions within a global technology organisation.</li> </ul> What skills you will learn <ul> <li>Advanced software architecture and feature ownership.</li> <li>Code review methodologies and software quality practices.</li> <li>Automation and reusable component development.</li> <li>Technical assessment and interviewing skills.</li> <li>Problem-solving and production troubleshooting techniques.</li> <li>Cross-functional collaboration and stakeholder engagement.</li> <li>Open-source contribution practices.</li> </ul> VOIS Equal Opportunity Employer Commitment Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.  Join Us At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this. We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together. With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference. Alert Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud. #JDEnhancedByTARA Follow us on social media <ul> <li>LinkedIn: VOIS on LinkedIn</li> <li>Facebook: VOIS on Facebook</li> <li>Instagram: VOIS on Instagram</li> <li>Chat with our employees: Learn more about our projects</li> </ul> </div>

Bayt

Senior Data Scientist

On-site - Egypt 30 June 2026

Information Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values. Yassir is seeking a highly skilled and motivated Senior Data Scientist, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems. About the Team <ul><li>The AI team is part of Yassir’s central Data & AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us! </li></ul> Responsibilities <ul> <li> Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it. </li> <li> Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others. </li> <li> Identify and propose ML opportunities related to your scope and beyond </li> <li> Support with requirements definition and prioritization of ML projects </li> <li> Collaborate with cross-functional Engineering and Product teams </li> <li> Champion Data Quality as a critical input component to all ML solutions and Analytics </li> <li> Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering </li> <li> Utilize Statistical and ML techniques, as appropriate, for model training </li> <li> Validate and tune ML models </li> <li> Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights </li> <li> Deploy and test ML applications using our MLOps infrastructureMonitor ML models on their technical performance, business impact and underlying data / concept drift </li> <li> Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting </li> <li> Maintain and improve technical documentation of delivered solutions </li> <li> Support the Data & AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams </li> <li> Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities </li> </ul> Key Requirements - Essential <ul> <li><ul> <li> Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics </li> <li> Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles) </li> <li> Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices. </li> <li> Comfortable with key Statistical concepts, such as statistical testing and causal analysis </li> <li> Analytical thinking and problem solving skills </li> <li> Engineering mindset focused towards delivering robust applied data science solutions </li> <li> Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling </li> <li> Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred </li> <li> Mastering of the end-to-end (ML) model development lifecycle </li> <li> Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English </li> <li> Positive attitude and resilience </li> <li> Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building </li> <li> Internal drive, self-motivation and ability to work independently including own effective project management </li> </ul> </li></ul> Nice to have <ul> <li><ul> <li> Experience with Financial Services companies </li> <li> Experience working on ML features for Digital Products (apps, websites) </li> <li> Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects </li> </ul> </li></ul> </div>

Bayt

Senior Software Engineer

On-site - Egypt 9 July 2026

Information Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About us Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We’ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence: 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona). Our proprietary AI orchestrator. Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions. Ready to kick start your career with us? Why Infomineo? Here’s what sets us apart: Shape the Future of Business Insights: You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics). Work with Global Leaders: Our clients are industry leaders — Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success. Lead in AI & Technology: We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team. Thrive in a Collaborative Culture: We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company’s growth. About this role: We are seeking an experienced and technically strong individual to join us as Senior AI Software Engineer. In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients. You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders. While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment. Key Responsibilities: Data Science, AI & Applied R&D: Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems. Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions. Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability. Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases. Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production. Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions. Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement. Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions. Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines. Full-Stack Application Development: Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI. Build or support frontend interfaces using modern frameworks such as React, Next. js, or Vue to make AI and data products accessible to business users and clients. Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns. Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources. Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions. Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture. Cloud, Deployment & MLOps: Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments. Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases. Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems. Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments. Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure. Technical Leadership & Collaboration: Lead applied AI and data science initiatives from discovery and prototyping through production deployment. Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness. Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs. Define standards and best practices for AI solution design, evaluation, documentation, and delivery. Communicate complex technical concepts clearly to both technical and non-technical audiences. Qualifications: 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products. Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks. Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next. js, or Vue. Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent. Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources. Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context. Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent. Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies. Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices. Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders. Bachelor’s or Master’s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field. Preferred Skills: Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows. Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques. Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation. Experience with Infrastructure as Code tools such as Terraform or Pulumi. Experience designing data models, analytical pipelines, or BI/dashboard solutions. Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials. What we offer: A competitive compensation and benefits package. The opportunity to lead AI, data science, and technology initiatives with real global impact. A dynamic and supportive work environment that values leadership, innovation, and your contributions. Continuous learning and professional development opportunities to propel your career forward in AI, data science, and technology. Application Process: Candidates are invited to submit a resume, cover letter, and any relevant portfolio, GitHub links, or project examples showcasing their experience in data science, AI solution development, full-stack application development, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their data science expertise, AI implementation skills, full-stack capabilities, and technical leadership potential. Infomineo: Where brilliant minds meet to shape the future of business. </div>

Librarian Jobs in Egypt

Senior .Net Developer

Senior Data Scientist

Senior Software Engineer

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Librarian Jobs in Egypt

Senior .Net Developer

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