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.RequirementsBuild and fine-tune LLM/ML models for Arabic NLP, document classification, vision/OCR, and AIOps use cases. Run pre-deployment evaluationAccuracy 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).Benefits5 years ML/AI engineering, in production LLM deployment with knowledge inPython, PyTorch, Hugging FaceKubernetes in production; GPU-served inferenceGCP Vertex AI or any equivellent cloud