AI Engineer
Listed on 2026-08-25
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Computing: Infrastructure & Operations, Data Engineering
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.
Build 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).
5 years ML/AI engineering, in production LLM deployment with knowledge in
Skills- Python, PyTorch, Hugging Face
- Kubernetes in production; GPU-served inference
- GCP Vertex AI or any equivellent cloud
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