AI Engineer

🏢 InnovationTeam
📍 Riyadh, Saudi ArabiaFull-timeOn-site
📅 Posted: 2w ago🔄 Updated: 2w ago
CV%
✨ AI Summary
This role as an AI Engineer involves the end-to-end development, deployment, and operation of AI/LLM models within a dual environment (GCP and Humain sovereign cloud). Key responsibilities include building and fine-tuning models for specific use cases like Arabic NLP and OCR, optimizing inference, and managing the serving stack and CI/CD pipelines. A strong understanding of cloud platforms (GCP, Kubernetes) and compliance with data sovereignty regulations is essential.
Required Skills
Information Technology
○Generative AI○Large Language Models○Machine Learning○Kubernetes○GCP○CI/CD○Monitoring
Other
○Arabic NLP○Document Classification○OCR○AIOps○Quantization○Batching○GPU partitioning○Vertex AI○vLLM○TGI○Data Sovereignty○GenAI Guidelines○PDPL
Soft Skills & Professional Competencies
○Ethics
🎁 Benefits & Perks

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

 

 

Requirements
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).
Description
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.
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00