AI & Automation Engineer

El Nozha, Al Matar, Egypt

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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
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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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

Region: Middle East
Country: Egypt

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