AI & Automation Engineer

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.