🧩 About the Role

We’re looking for a Machine Learning Engineer to collaborate on a project focused on building AI-driven language and retrieval systems.

This is a project-based position, ideal for someone passionate about applying AI to real-world use cases — not research, but tangible impact.

⚙️ Responsibilities

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• Develop and optimize machine learning pipelines for language understanding and retrieval.
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• Design, train, and fine-tune models for text processing, similarity, and reasoning.
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• Integrate ML components with existing backend systems and APIs.
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• Work closely with the tech team to ensure clean, scalable, and efficient implementation.
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• Document your workflow and deliver production-ready code.

🎯 Requirements

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• Hands-on experience in Machine Learning or NLP projects (at least 1–2 completed end-to-end).
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• Strong Python background with practical use of ML frameworks (PyTorch, TensorFlow, scikit-learn, etc.).
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• Understanding of language models (LLMs) and retrieval-based AI concepts.
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• Ability to work independently, manage timelines, and deliver solid results.
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• Good communication and attention to detail.

🌟 Nice to Have

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• Experience with LangChain, LlamaIndex, or similar frameworks.
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• Familiarity with vector databases (pgvector, Qdrant, Chroma, etc.).
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• Basic understanding of Arabic NLP is a plus.

💼 Engagement

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• Type: Project-Based / Remote
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• Start: Immediately
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• Collaboration: Directly with Mohamed Fouad (Lead Developer & CEO)

📩 How to Apply