InnovationTeam
AI Engineer
Riyadh, Saudi ArabiaPosted 1 months ago
- Salary
- AED 22k–35k a month· est.
- Job type
- Full time
- Level
- Mid level
- Field
- AI & Machine Learning
- Work mode
- On site
About the role
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. 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
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).
Responsibilities
Develop, deploy, and operate AI/LLM models across dual environments (GCP and Humain sovereign cloud). Manage end-to-end model lifecycle including serving stack ownership, versioning, CI/CD, monitoring for latency, token throughput, GPU utilization, and drift. Implement pre-deployment evaluation, safety checks, and accuracy baselines. Optimize inference performance (quantization, batching, context sizing) and manage resource allocation (GPU quotas, partitioning, RBAC). Implement and maintain routing between GCP Vertex AI/GKE and Humain Kubernetes deployments. Ensure compliance with data sovereignty and regulatory guidelines (ZATCA, SDAIA, PDPL) and adhere to AI ethics and GenAI guidelines.
Skills
- Python
- PyTorch
- Hugging Face
- Kubernetes
- GPU-accelerated inference
- GCP Vertex AI
- GKE
- vLLM
- model versioning
- CI/CD
- latency monitoring
- token throughput monitoring
- drift monitoring
- quantization
- batching
- context sizing
- data sovereignty
- AI ethics
- GenAI guidelines
Not sure you fit this role?
Upload your CV and see how you score against InnovationTeam and every other live job. It's free.
Get my free matchesAED 22k–35k a month· est.