AI & Automation Engineer - Internship
El Nozha, Al Matar, Egypt
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Areeb Technology
Areeb Group is a well-established, diversified holding company based in London. The group currently has operations in Europe, the Middle East and North Africa.As an AI & Automation Engineer at Areeb, your role will combine applied AI development with intelligent automation. You will design and implement AI-powered solutions that not only analyze data but also streamline and automate business and development processes.
- Develop real-time AI solutions across teams to solve challenging real-world problems.
- Design and deploy AI-driven automation solutions across various departments.
- Identify business processes suitable for automation and perform feasibility analysis.
- Develop scripts, bots, and workflows using tools like Python, UiPath, Power Automate, or similar.
- Integrate AI models (e.g., LLMs, computer vision, etc) into automation pipelines.
- Develop AI solutions to improve software development processes using LLMs.
- Collaborate with cross-functional teams, including AI engineers, software developers, and project managers, to deliver scalable solutions.
- Monitor and maintain existing automation systems, troubleshoot issues, and optimize performance.
- Ensure compliance with data privacy, security policies, and ethical AI standards.
- Document solutions and create user training and support materials.
Requirements
- A degree or proven learning track record (with certification from recognized institutions) in AI or a related field.
- Excellent knowledge of supervised methods (Classification, Regression) and unsupervised methods (Clustering, Feature Selection, Dimensionality Reduction).
- Some knowledge in AI automation platforms such as n8n, Make, or Zapier.
- Familiarity with vector databases, Retrieval-Augmented Generation (RAG), and prompt engineering.
- Experience with tools like UiPath or Microsoft Power Automate is a strong plus.
- Proficiency in Python and SQL, along with key Python libraries for ML and data analysis (scikit-learn, Pandas, NumPy, matplotlib, SciPy, MLflow).
- Strong experience in Deep Learning (RNNs, CNNs, Autoencoders).
- Proven skills in data analysis and the ability to extract insights from real-world datasets.
- Experience with Keras (and TensorFlow) or PyTorch.
Tags: Classification Clustering Computer Vision Data analysis Deep Learning Engineering Keras LLMs Machine Learning Matplotlib MLFlow NumPy Pandas Pipelines Privacy Prompt engineering Python PyTorch RAG Scikit-learn SciPy Security SQL TensorFlow
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