LLM Engineer – Arabic NLP Specialist

📍 Location: 100% Remote – Flexible, work from anywhere⏳ Job Type: Full-time, project-based (3–6 months with possible extension)💰 Salary: Competitive Salary🗣 Language: Must be fluent in English💼 Experience Required: 3–5 years in LLMs or AI/ML with hands-on focus on LLMs🕒 Working Hours: Matching Dubai business hours🚀 Start Date: ImmediateWe’re looking for an LLM Engineer to help drive innovation in Arabic Natural Language Processing. This role is ideal for someone with deep expertise in training, fine-tuning, and scaling Large Language Models (LLMs), especially on Arabic datasets, and who thrives in building production-grade AI solutions.If you’re passionate about language models, NLP, and working on impactful projects involving the Arabic language — this is the opportunity for you.✅ Responsibilities:Train, fine-tune, and deploy LLMs (e.g. LLaMA, Mistral, Falcon, GPT) on Arabic text corpora.Optimize model performance through prompt engineering, quantization, and evaluation.Build distributed training workflows using frameworks like DeepSpeed or HuggingFace Accelerate.Develop APIs and scalable inference endpoints using Python-based backends (FastAPI, Flask, etc).Collaborate with product, design, and data teams to deliver real-world NLP features.Stay current with the latest advancements in LLMs, transformer architectures, and RAG pipelines.Work with multilingual tokenizers, embeddings, and alignment methods.Ensure ethical and secure use of LLMs in production systems.🎯 Qualifications:5+ years of experience in AI/ML engineering, with a focus on NLP or LLMs.Strong understanding of deep learning, transformers, and NLP architectures.Proven hands-on experience with training/fine-tuning LLMs using PyTorch or TensorFlow.Proficiency in Python and experience with HuggingFace Transformers library.Experience with distributed training and GPU optimization (DeepSpeed, Accelerate, etc).Native or near-native fluency in Arabic and deep understanding of Arabic linguistic structures.Familiarity with vector databases (e.g., FAISS, Pinecone) and RAG-based pipelines.Experience deploying models via APIs in cloud environments (AWS, GCP, or Azure).Why Join Fekra?🏆 ISO-Certified & ISTQB Platinum Partner – Be part of a globally recognized company.🌍 100% Remote – Work from anywhere!💰 Competitive Salary🚀 Exciting Projects – Work on cutting-edge fintech and cloud-based applications.📈 Career Growth – Enjoy continuous learning and professional development.💡 Flexible Work Options – Part-time and full-time remote opportunities.🤝 Collaborative Culture – Join a dynamic, supportive, and innovative team.