AI Engineer

Looking for an AI Engineer to Develop, deploy, and operate AI/LLM models across Clinets dual environment — GCP for public\-cloud workloads, Humain sovereign cloud for classified data. **Requirements** Build and fine\-tune LLM/ML models for Arabic NLP, document classification, vision/OCR, and AIOps use cases. **Run pre\-deployment evaluation** Accuracy baselines, regression and safety testing; evidence to justify GPU allocation. Optimize inference — quantization, batching, context sizing — against measured usage. Deploy on Humain GPUaaS: Kubernetes, GPU partitioning on B300 nodes, quotas, RBAC. Build equivalent workloads on GCP (Vertex AI, GKE) with classification\-based routing. Own serving stack (vLLM/TGI), model versioning, CI/CD, and monitoring for latency, tokens, GPU utilization, and drift. Ensuring developed AI Models Complying with ZATCA data sovereignty and SDAIA requirements (AI Ethics, GenAI Guidelines, PDPL). **Benefits** 5 years ML/AI engineering, in production LLM deployment with knowledge in Python, PyTorch, Hugging Face Kubernetes in production; GPU\-served inference GCP Vertex AI or any equivellent cloud