Machine Learning Engineer

At Numrah, we build intelligent, modern applications that combine cutting-edge engineering with practical machine learning. We're looking for a Machine Learning Engineer who is deeply grounded in ML theory and excited to Design and implement ML solutions from ideation to production Fine-tune and integrate LLMs Deploy and monitor LLM-powered features at scale in real-world products Collaborate with engineers and product teams to build intelligent, user-facing features Write clean, scalable code and detailed technical documentation Stay current with the latest in ML research, LLM capabilities, and MLOps best practicesWhat You’ll DoDesign and implement ML solutions from ideation to productionFine-tune and integrate LLMsDeploy and monitor LLM-powered features at scale in real-world productsCollaborate with engineers and product teams to build intelligent, user-facing featuresWrite clean, scalable code and detailed technical documentationStay current with the latest in ML research, LLM capabilities, and MLOps best practicesMust-HavesBe an Arabic speakerHave at least 1-2 year of non-internship experience in Machine LearningStrong ML and DL theory background, you don't just use things, you know how they are working under the hood.Production experience training and fine-tuning LLMs, with practical knowledge of transformer architectures in NLP applications.Experience with MLOps best practices.Collaborative mindset and ability to communicate technical ideas clearlyNice-to-HaveExperience deploying LLM-based features to productionKnowledge of parameter-efficient fine-tuning (LoRA, QLoRA, PEFT)Familiarity with RAG pipelines and vector databases (e.g., Pinecone, Weaviate)Understanding of model serving and inference optimization (quantization, batching)Exposure to MLOps practices (monitoring, versioning, CI/CD for ML)Experience with RESTful APIs, Docker, and cloud platforms (GCP, AWS, or Azure)Interest in NLP applications, smart assistants, or chatbot systems