مهندس ذكاء اصطناعي أول وعالم بيانات

Company Description Persici is a creative agency that designs customized, performance-based campaigns and business solutions for brands across the MENA region. The company supports clients in building, growing, and expanding their market presence through strategic creative consulting, marketing, and advertising services. Persici combines data-driven insight with innovative storytelling to help organizations achieve measurable results. Team members collaborate closely with diverse clients and disciplines, creating an environment that values experimentation, impact, and long-term partnerships.
Role Description The Senior AI Engineer & Data Scientist will design, develop, and deploy AI-driven solutions that enhance Persici’s campaign performance and business intelligence. This full-time, hybrid role is based in Cairo, with flexibility for partial work from home. Daily responsibilities include building and optimizing machine learning models, conducting data analysis to uncover patterns and insights, and developing algorithms that support marketing personalization, targeting, and creative optimization. The role involves collaborating with cross-functional teams to translate business needs into technical requirements, integrating AI components into production systems, and validating model performance through experimentation and A/B testing. The Senior AI Engineer & Data Scientist will also document solutions, mentor team members, and stay up to date with emerging AI and data science techniques relevant to creative and marketing applications.
Qualifications

• Strong foundation in Computer Science and Software Development, with experience building and deploying production-grade AI or data-driven applications.
• Advanced expertise in Pattern Recognition and Neural Networks, including designing, training, and evaluating deep learning models for real-world use cases.
• Hands-on experience with Natural Language Processing (NLP), particularly for text analysis, content generation, sentiment analysis, or campaign optimization.
• Proficiency in Python or similar languages, and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience working with large datasets, data pipelines, and cloud or distributed computing environments.
• Strong analytical and problem-solving skills, with the ability to translate business challenges into measurable AI solutions.
• Effective communication skills and the ability to collaborate with non-technical stakeholders in marketing, creative, and client-facing teams.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field; relevant industry experience can be considered in lieu of advanced degrees.
• Background in marketing analytics, ad tech, or performance-based campaigns is a plus.