AI engineer jobs in Egypt

Job market overview: demand, sectors and typical roles

Egypt’s AI job market has seen steady expansion driven by digital transformation in banking, telecommunications, healthcare and logistics. Major employers include local tech firms, multinational corporations, research institutions and a fast-growing number of startups in Cairo, Alexandria and other cities. Typical roles labeled as AI engineer often overlap with data scientist, machine learning engineer, and ML ops engineer — responsibilities commonly include building ML models, productionizing pipelines, and deploying scalable systems. Remote and hybrid positions are increasingly common, with some companies hiring for specialized roles such as computer vision engineer, NLP engineer, or recommender systems engineer.

Skills, education and experience employers look for

To stand out for AI engineer jobs in Egypt, demonstrate strong foundations in machine learning algorithms, statistics, and software engineering. Key technical skills include Python, TensorFlow or PyTorch, SQL, model evaluation, and experience with cloud platforms like AWS, Azure or Google Cloud. Practical knowledge of MLOps tools (Docker, Kubernetes, CI/CD) and data engineering (ETL, Spark) increases employability. Academic credentials (BSc/MSc in computer science, engineering or related fields) help but proven project experience, GitHub portfolios, Kaggle participation, and internships often matter more to recruiters. Soft skills such as problem-solving, communication, and cross-functional collaboration are essential when working with product teams or stakeholders.

Where to find AI engineer jobs in Egypt and how to grow your career

Job seekers should monitor local job boards (Wuzzuf, Forasna), global platforms (LinkedIn, Indeed), and specialized AI communities and meetups in Cairo and other cities. Networking at conferences, contributing to open-source projects, and showcasing end-to-end projects (data collection, modeling, deployment) can accelerate hiring. For career growth, focus on mastering production ML, MLOps, and domain knowledge (finance, healthcare, telecom) to move into senior engineering or leadership roles. Consider certifications, advanced degrees, or bootcamps to fill knowledge gaps, and explore freelancing or remote roles to gain diverse experience and higher compensation.