Numrah is a mobile development company specializing in innovative and intuitive mobile and messaging solutions. Their vision is to become the leading messaging company in the MENA region, and they focus on developing and launching high-quality applications with excellent user experiences. By prioritizing meaningful projects, Numrah aims to deliver unique and innovative solutions in the mobile and messaging space.
mobile development • chat • chatbot • realtime • software services
April 9
Numrah is a mobile development company specializing in innovative and intuitive mobile and messaging solutions. Their vision is to become the leading messaging company in the MENA region, and they focus on developing and launching high-quality applications with excellent user experiences. By prioritizing meaningful projects, Numrah aims to deliver unique and innovative solutions in the mobile and messaging space.
mobile development • chat • chatbot • realtime • software services
• Collaborate with backend, product, and ML teams to ship smart, scalable features. • Integrate Large Language Models (LLMs) into systems. • Write production-level code and apply models in user-facing scenarios.
• Be an Arabic speaker. • Solid experience with Python and core programming concepts. • Have a grasp of Software Engineering fundamentals (OOP, Data Structures and Algorithms). • Basic understanding of machine learning principles (e.g., supervised learning, model evaluation, etc.). • Familiarity with integrating and finetuning LLMs using tools like OpenAI, HuggingFace Transformers, or LangChain. • Comfort with data manipulation tools (Pandas, NumPy, etc.). • Strong research and documentation skills (you will be asked to write regular reports documenting your work). • Strong communication and collaboration skills—you're a team player. • Experience deploying LLM-powered features into production environments. • Exposure to cloud services like Google Cloud, AWS, or Azure. • Basic understanding of REST APIs and backend service design. • MLOps knowledge (e.g., model monitoring, versioning, deployment). • Interest in NLP, chatbot systems, or building smart user-facing assistants. • Experience with tools like LangChain, Vector DBs (e.g., Pinecone, Weaviate), or RAG pipelines.
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