The Machine Learning Engineer role involves designing, implementing, and deploying ML solutions, focusing on LLMs and collaboration with engineering teams.
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 practices
What You’ll Do
- 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 practices
Must-Haves
- Be an Arabic speaker
- Have at least 1-2 year of non-internship experience in Machine Learning
- Strong 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 clearly
Nice-to-Have
- Experience deploying LLM-based features to production
- Knowledge 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
Top Skills
AWS
Azure
Deep Learning
Docker
GCP
Llms
Machine Learning
Mlops
Nlp
Restful Apis
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