Head of Artificial Intelligence
CDA Girls · Dubai, United Arab Emirates
Apply & track with Apply EdgeRole Description This is a part-time hybrid role based in Dubai, United Arab Emirates, with flexibility for some work-from-home arrangements. The Head of Artificial Intelligence will lead the development and implementation of AI strategies and solutions across CDA Girls’ products and services, ensuring alignment with organizational goals and ethical standards. Responsibilities include overseeing AI research initiatives, guiding the design and deployment of machine learning models, and evaluating emerging technologies in areas such as NLP and computer vision. The role involves collaborating with cross-functional teams to translate business needs into AI-driven features, setting technical standards and best practices, and mentoring team members in AI methodologies. The Head of Artificial Intelligence will also define roadmaps, manage key projects, and present findings and recommendations to leadership and stakeholders.Qualifications Strong foundation in Computer Science, including algorithms, data structures, software engineering principles, and system design.Proficiency in Data Science, including statistical analysis, machine learning techniques, and working with large, complex datasets.Expertise in Pattern Recognition, with experience building and optimizing models for classification, detection, and prediction tasks.Hands-on experience with Natural Language Processing (NLP), such as text classification, language modeling, and conversational AI.Practical experience in Computer Vision, including image/video analysis, object detection, and related deep learning frameworks.Advanced skills in programming languages commonly used in AI (e.g., Python), and familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).Demonstrated experience leading AI or data teams, setting technical direction, and delivering production-ready AI solutions.Strong communication and collaboration skills, with the ability to explain complex concepts to technical and non-technical stakeholders.Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field, or equivalent practical experience.Commitment to responsible and ethical AI, including considerations around fairness, transparency, and privacy.