Job summary
InnovationTeam in Riyadh is hiring an AI Engineer to develop, deploy and operate LLM/ML models across GCP and the Humain sovereign cloud. The role covers model fine-tuning, pre-deployment testing, GPU-backed deployment, inference optimization and regulatory compliance monitoring.
Key responsibilities
- Develop, fine-tune and operate LLM/ML models for Arabic NLP, document classification, vision/OCR and AIOps.
- Perform pre-deployment evaluation, accuracy baselines, regression and safety testing.
- Optimize inference via quantization, batching and context sizing based on measured usage.
- Deploy workloads on Humain sovereign cloud using Kubernetes, GPU partitioning and RBAC.
- Build equivalent deployments on GCP (Vertex AI, GKE) with classification-based routing.
- Manage serving stack, model versioning, CI/CD, and monitoring for latency, tokens, GPU utilization and drift.
- Produce evidence to justify GPU allocation and enforce quotas.
- Ensure models comply with ZATCA, SDAIA, AI ethics, GenAI guidelines and PDPL requirements.
Requirements
- 5 years' ML/AI engineering experience with production LLM deployments.
- Proficient in Python, PyTorch and Hugging Face.
- Experience running Kubernetes in production and GPU-served inference.
- Familiarity with GCP Vertex AI or equivalent cloud services.
- Able to perform accuracy, regression and safety testing.
Skills
PythonPyTorchHugging FaceKubernetesvLLMTGIGCP Vertex AIGKEGPU inferenceModel monitoring
Source: Workable. Last checked as open: 14 Nov 2026. You apply directly with the employer.
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