Job description

As an AI & Data Trainee, you will contribute to projects that turn data into insight and help shape AI-driven solutions that support business goals.
This role is a strong fit for someone looking to grow their foundation in artificial intelligence, machine learning, and data work while collaborating with teams across the business on meaningful technology initiatives.
Responsibilities Develop and implement AI and data-driven solutions to support business objectives.
Analyze large datasets to extract actionable insights and support decision-making.
Design and build machine learning models and algorithms tailored to company projects.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
Stay current with the latest advances in AI, machine learning, and data science technologies.
Support data governance, data quality, and ethical AI practices within the organization.
A culture of growth: Many of our leaders started in junior roles — we believe in investing in our people and growing talent from within.
Continuous feedback: We don’t wait for annual reviews — we believe in real-time coaching and development.
Supportive & collaborative vibes: We're all about learning together, cheering each other on, and diving into challenges as a team.
A space for every personality: Love socializing?
You’ll thrive in our lively environment where conversation and connection are key.
Prefer quiet focus?
We’ve got dedicated Focus Rooms perfect for deep work.
Bachelor’s degree (or recent graduate) in Computer Science, Data Science, Artificial Intelligence, or a related field.
Basic knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn (academic or personal projects are a plus).
Good programming skills in Python and familiarity with data processing libraries (such as Pandas and NumPy).
Basic understanding of working with data, including data cleaning workflows, and data visualization tools such as Power BI or Tableau, along with Python-based visualization libraries such as Matplotlib or Seaborn.
Foundational knowledge of statistics, data mining, predictive modeling concepts, and model experimentation workflows.
Experience working in Agile-style delivery.
Eligible to work in Egypt.
Experience with version control using Git is a plus.
Completion of solid AI, machine learning, or data projects is a plus.