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Company Description Founded in 1919, The American University in Cairo (AUC) moved to a new 260-acre state-of-the-art campus in New Cairo in 2008. The university also operates in its historic downtown facilities, offering cultural events, graduate classes, and executive and continuing education. Student housing is available in New Cairo. Among the premier universities serving Egypt and the region, AUC is accredited by the Middle States Commission on Higher Education. In addition, the Association to Advance Collegiate Schools of Business (AACSB), The European Foundation for Management Development (EFMD)'s EQUIS, and the Association of MBAs (AMBA) accredit the School of Business; ABET accredits its engineering programs; the Canadian Society for Chemistry accredits the chemistry program; and the Master of Public Administration and the Master of Public Policy programs of GAPP are accredited by the Network of Schools of Public Policy, Affairs, and administration (NASPAA). The AUC libraries contain the largest English-language research collection in the region. They are an active and integral part of the university's pursuit of excellence in all academic programs. AUC is an English-medium institution; eighty-five percent of the students are Egyptian. The rest include students from nearly ninety countries, mainly from the Middle East, Africa, and North America. Faculty salary and rank are based on qualifications and professional experience. According to AUC policies and procedures, all faculty are entitled to generous benefits. About The Onsi Sawiris School Of Business The roots of the Onsi Sawiris School of Business date back to 1947, when the first degree in economics was introduced in Egypt. The school has been accredited by the Association to Advance Collegiate Schools of Business (AACSB) since 2006, the European Foundation for Management Development (EFMD)'s EQUIS, and the Association of MBAs (AMBA) since 2014, when it became among the 1% triple-crown accredited business schools in the world. The school is a member of the Global Alliance in Management Education (CEMS) and the Global Network for Advanced Management (GNAM). In 2024, the school was ranked by Eduniversal as the best in Africa for the 8th consecutive year and 73rd globally in open enrolment in executive education by the Financial Times. The school offers six undergraduate degrees, including bachelor's degrees in economics, accounting, marketing, finance, information and communication technology management, and entrepreneurship. In addition, the school offers six graduate degrees in economics, economic development, finance, and international management, as well as an MBA and an EMBA. The school is home to 8 research and outreach centers, including the Access to Knowledge for Development Center, the Center for Entrepreneurship and Innovation, the Venture Lab, and the Al-Khazindar Business Research and Case Center. For more information about the school: business.aucegypt.edu. Job Description The American University in Cairo's Onsi Sawiris School of Business invites nominations and applications for a faculty position in the Mohamed Shafik Gabr Department of Economics at the level of Assistant/Associate/Professor for a fixed-term four-year appointment, to begin in Fall 2027. The department seeks an applicant with exceptional teaching and research records in Quantitative and Applied Econometrics/Economics. We particularly encourage candidates whose work combines strong econometrics and quantitative methods with applied research, including the use of Machine Learning, Data Science, and computational tools to address contemporary economic questions. The applicant must build a diverse research team in collaboration with local and international participants, addressing how the above sub-disciplines relate to the Middle East and African regions. Strong practical quantitative, econometric, data science, and research methodology skills are essential. The successful applicant will be expected to contribute to undergraduate and graduate teaching, and must be actively engaged in research and service, and supervise master's theses. Finally, all faculty must be willing to teach introductory courses. Requirements Applicants must hold a PhD in economics or finance from a reputable university, preferably one accredited by AACSB and/or EQUIS. Applicants must demonstrate an internationally recognized record of research excellence and scholarly impact. Applicants must have a proven record of research publications in the past five years in top-tier journals (A*/A according to the ABDC ranking or Q1/Q2 according to Scopus ranking). PhD candidates must demonstrate a strong research agenda and a history of securing competitive research funding. Candidates should demonstrate commitment to academic research, teaching, and service. Key Responsibilities Research & Scholarship Leading a world-class research program in quantitative and applied econometrics. Securing competitive external funding to sustain and expand research initiatives. Conducting impactful research. Publishing in top-tier journals and presenting at leading international conferences. Engage in international research projects with partner universities and institutions. Teaching & Mentorship Developing innovative undergraduate and graduate curricula that incorporate rigorous and advanced quantitative methods and their applications to business and economics. Aligning degrees with changing market demands. Delivering graduate and undergraduate courses in statistics, econometrics, applied quantitative methods, and related applied courses. Supervising and mentoring graduate students. Mentoring faculty. Institutional Leadership Serving as a catalyst for interdisciplinary research across departments, schools, and external partners. Representing the school and university in national and international forums, strengthening its global reputation, and elevating the level of collaboration. Community & Industry Engagement Building partnerships with industry, government, and civil society to translate research into real-world impact. Engaging in public discourse on the application of quantitative methods to inform governments and industry. Collaborating with industry to design applied research projects. Additional Information Review of applications will begin immediately and continue until the position is filled. Only shortlisted candidates will be contacted. Application Instructions All applicants must submit the following documents online: Cover letter outlining research, teaching, and leadership vision. Current Curriculum vitae. Statements of research and teaching. Sample of current research (up to three representative publications). Evidence of teaching effectiveness. Completed AUC Personnel Information Form (PIF); and, Three names of reference to busref@aucegypt.edu with the subject line BUS/Econ/2027 Apply Here PI287114046 Show more

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

We’re Hiring: Senior AI Prototyper | Remote – Egypt At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation. We are seeking a Senior AI Prototyper who shares our passion for innovation and transformation. This role is critical in building advanced AI-driven solutions that enable our business partners to evolve and meet the growing demand for personalized, intelligent digital experiences. Technical Skills Required Skills & Experience Languages & Web Stack: Strong proficiency in Python, JavaScript/TypeScript, and light front-end frameworks (React, Next.js, Streamlit, Gradio, or Tailwind CSS) for fast UI development. AI & LLM Integration: Hands-on experience integrating major LLM provider APIs (OpenAI, Anthropic, Google Gemini), prompt engineering, and basic orchestration frameworks (LangChain, LlamaIndex). Data & RAG Basics: Familiarity with vector embeddings, lightweight vector databases (Chroma, Pinecone), and document processing for rapid context injection. APIs & Tooling: Ability to quickly connect prototypes to external REST APIs, webhooks, and mock data stores. Title & Soft Skills Rapid Prototyping Mindset: Bias for action and speed over perfection—comfortable writing lightweight, disposable code to test ideas fast. Product & UX Intuition: Strong understanding of user-centric design principles, conversation design, and AI interaction patterns. Cross-Functional Communication: Ability to articulate complex AI behavior and technical constraints clearly to non-technical stakeholders, design partners, and executive leadership. Preferred Qualifications 4+ years of software engineering or technical product prototyping experience. 2+ years of hands-on experience building with generative AI or LLM-backed applications. Prior experience in early-stage product development, innovation labs, or R&D environments. Location: Dubai,UAE Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to impact the world positively. We may use AI and machine learning technologies in our recruitment process. Compensation is determined based on skills, qualifications, experience, and location. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about our commitment to diversity and inclusion and Globant’s Benefits. Show more

Company Description Systems Limited is a globally recognized IT software solution company offering state-of-the-art professional services and BPO offerings in technology. The company has positioned itself as the top IT company in Pakistan, providing computing strategies and solutions to Government and Private Organizations. Systems Limited excels in Digital Transformation, Cloud, Digital, and Data, and has accomplished over 600 projects in the US, Europe, Pakistan, the Middle East, and Africa. Key Responsibilities: • Design, develop, and deploy machine learning models, AI algorithms, and statistical analyses to address business challenges (e.g., predictive analytics, recommendation, hyper personalization, fraud detection, etc.). • Lead a team of data scientists, providing technical guidance and mentoring on model development, experimentation, and implementation. • Partner with Product, Engineering, Delivery and Business to integrate data science solutions into production systems. • Identify relevant datasets, perform data mining, and ensure data quality for modeling purposes. • Communicate insights and model outcomes to technical and non-technical stakeholders to drive business decisions. • Define project roadmaps—from ideation and experimentation to production deployment and monitoring—ensuring alignment with business goals • Build robust predictive and prescriptive models (classification, regression, clustering, time-series, GenAI, etc.) • Continuously explore, pilot new methods and select proper modeling—Deep Learning, NLP, GenAI, LLMs, XAI—and promote best practices • Describe AI models using Explainable AI Job Requirements: • BSc in computer science, Information Technology, Computer Engineering or related field • 3+ years of experience leading projects and teams of data science • Proficiency in Python (or R), SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-Learn) • MUST: Experience deploying models in production environments, not only solution development. • Proficient in Python (NumPy, Pandas), R, SQL • Experience with ML/DL frameworks (Scikit-Learn, TensorFlow, PyTorch, Keras, Hugging Face) • Skilled in MLflow, Kubeflow, CI/CD, Docker, Kubernetes • Implement performance tracking and drift detection • Provide explanation for model inference with XAI • Proven experience to lead solution from early development, until production automation and monitoring. Show more

About Bosta: Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience altogether to provide a one-stop-shop for delivery solutions. We rely on advanced technology to deliver orders to our customers in a fast way. Businesses can track and connect with couriers and follow up on their orders - all in one system. Job Code: 2026DATA-071 Job Overview: As a Senior Data Analyst, you will play a crucial role in extracting insights from complex datasets to inform strategic decision-making and drive business growth. With a keen eye for detail and strong analytical skills, you will transform raw data into actionable insights that empower stakeholders to make informed decisions. This role will have a strong focus on supporting our Operations and Fleet teams, helping them to analyze data, uncover insights, and make data-driven decisions. Job Responsibilities: 1-SQL Database Management: Build and maintain SQL databases, ensuring data integrity, security, and optimal performance Oversee the maintenance of databases and coordinate with data engineers to address any performance issues Optimizing data performance Handling all data extraction requests by creating queries on our SQL database 2- Data Extraction and Visualization: Develop and implement efficient data extraction processes from various sources Create visually appealing and insightful data visualizations to effectively communicate findings to stakeholders Apply data visualization best practices to enhance data-driven decision-making across the organization 3- Team Collaboration and Support: Collaborate with cross-functional teams to understand business requirements and provide data-driven insights and recommendations Work closely with the Operations and Fleet teams to understand their data needs, analyze operational and fleet data and operations challenges, and provide insights to improve efficiency and decision-making Partner with the planning/performance team 4- Additional Duties: Stay updated on emerging trends, tools, and technologies in the field of data analytics Foster a data-driven culture within the organization, promoting the use of data for decision-making at all levels Job Requirements: Bachelor's degree in a relevant field such as Data Science, Statistics, or Computer Science It's preferred to have tech startup experience 3-5 Years of experience as a Data Analyst Strong proficiency in SQL database management Advanced proficiency in Tableau for building dashboards and visualizations (required) Working knowledge of Python, Power BI or any other tools for data analytics is a plus Strong analytical and problem-solving skills, with the ability to interpret complex data and drive actionable insights Strong business acumen and the ability to translate business requirements into analytical solutions We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Show more

Business Intelligence & Data Analytics Opportunity This role focuses on transforming business requirements into data-driven BI solutions that support effective decision-making across the organization. The position requires close collaboration with Business Stakeholders, Project Managers, Operations, and Data Management teams to understand business needs, translate them into technical requirements, and develop automated reporting solutions using Power BI, SQL, DAX, and Advanced Excel. Key Responsibilities: Develop, automate, and maintain Power BI dashboards and reports. Create and optimize SQL queries for data extraction and reporting. Translate business requirements into clear functional and technical specifications. Analyze data to identify trends, issues, opportunities, and actionable insights. Ensure data accuracy, consistency, and quality. Support Data Warehouse and Data Mart design and optimization. Collaborate with stakeholders to improve reporting and BI solutions. Participate in Agile, PSP/DMAIC, and Continuous Improvement initiatives. Recommend improvements to reporting solutions, SQL performance, and data processes. Act as a bridge between business teams and Data/BI teams. Requirements: Education Bachelor's Degree completed or currently in progress. Preferred backgrounds: Computer Science, MIS, Data Science, Programming, Business Analytics, Engineering, or related fields. Experience At least 6 months of Call Center experience, preferably in Workforce Management (WFM). 6+ months of experience with Power BI. 6+ months of experience with SQL, MySQL, or Oracle is desirable. Technical Skills Strong knowledge of Power BI & DAX. Advanced Excel skills. Working knowledge of Microsoft SQL Server Management Studio (SSMS). Advanced statistical knowledge. Knowledge of Power Automate (Flow) and PowerApps is highly desirable. Basic knowledge of programming languages. VBA/Macros and Visual Basic knowledge is a plus. Basic knowledge of Object-Oriented Programming (OOP) is preferred. Key Competencies Strong analytical and problem-solving skills. Excellent English communication skills. Customer and stakeholder orientation. Initiative and achievement orientation. Continuous improvement mindset. Planning and organization. Teamwork and interpersonal skills. Ability to learn quickly and work with moderate to low supervision. Benefits: Competitive salary package Medical & social insurance Career growth and development opportunities Professional and multinational work environment Continuous learning and hands-on technical exposure Show more