AI Engineer Intern

Main Responsibilities:

Model Support: Assist in the development, training, and fine-tuning of ML models, with a particular focus on NLP for Arabic and English text analysis.

Data Pipeline Management: Collect, clean, and structure data from various digital sources to ensure it is ready for analysis.

Workflow Automation: Create and implement Python-based scripts to automate data extraction and routine reporting tasks.

Research Integration: Work with our research units to identify opportunities where AI can enhance data visualization and crisis tracking.

Documentation: Maintain rigorous documentation of experimental processes, codebases, and technical workflows.

Requirements:

Technical Foundation: Strong command of Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.

Academic Background: Currently enrolled in or recently graduated from a program in Computer Science, Data Science, or a related technical field.

Analytical Mindset: Ability to troubleshoot complex code and think critically about data ethics and accuracy.

Communication: Excellent written and verbal communication skills in Arabic and English.

Cultural Fit: Interest in the humanitarian or research sector and a commitment to professional growth within a team environment.

Learning Benefits:

Direct mentorship from senior technical and research staff.

Practical experience applying AI to social science and humanitarian data.

A collaborative work environment focused on innovation and local impact.

Professional certificate and recommendation letter upon successful completion.