📍 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: Immediate
We’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.
