Arabic NLP Engineer

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Requirements:

• Native or fluent Arabic, with strong knowledge of Arabic linguistics.
• Bachelor’s or Master’s in Computer Science, AI, Computational Linguistics, or related fields.
• Proficiency in Python, NLP libraries, and ML frameworks (TensorFlow, PyTorch, etc.).
• Experience handling Arabic-specific NLP challenges (dialects, diacritics, morphological complexity).
• Good English skills for reading documentation, writing technical briefs, and collaborating internationally.

Responsibilities:

• Design and implement NLP algorithms (tokenization, stemming, morphological analysis) for Arabic text.
• Build and deploy ML models (classification, sentiment, topic modeling) using frameworks like TensorFlow, PyTorch, or scikit-learn.
• Fine-tune pretrained models (BERT, GPT, etc.) for Arabic language tasks.
• Collaborate with data teams to ensure a continuous pipeline of annotated Arabic data.
• Evaluate model performance, conduct error analysis, and propose improvements.
• Prepare technical documentation (in English) and reports (in Arabic/English) for internal stakeholders and clients.