Job summary
Mozn is hiring an AI Engineer in Riyadh to design, deploy and optimize machine learning and generative AI solutions for government and enterprise clients. The role covers end-to-end delivery from data pipelines and model development to backend services, APIs and production operations.
Key responsibilities
- Design, build and scale machine learning and generative AI models and infrastructure
- Deploy deep learning and generative models to production for public and private sector projects
- Optimize training and inference for performance, latency and scalability
- Monitor, retrain and improve deployed ML models
- Lead client consultations and provide expert guidance to stakeholders
- Own end-to-end delivery: data pipelines, models, backend, APIs, UI, deployment and operations
- Design and implement data ingestion, transformation and processing pipelines
- Integrate AI solutions with enterprise systems, databases and authentication services
Requirements
- Bachelor's or master's degree in computer science or related field
- 3-5 years across software, ML engineering, data science and generative AI
- Proven projects across public and private sectors
- Expertise in Python, TensorFlow, PyTorch and ONNX
- Experience with Docker, Kubernetes, MLflow and Ollama
- Skilled in on-premise infra design with security and compliance best practices
- Deep knowledge of hardware provisioning for local LLMs (GPU, RAM, storage)
- Experience with cloud ML environments like SageMaker, Vertex AI or OCI Data Science
Benefits
- Competitive compensation and top-tier health insurance
- High responsibility and autonomy in role
- Work with a fast-growing company in the Middle East AI space
- Dynamic workplace alongside experienced AI professionals
Skills
PythonTensorFlowPyTorchONNXDockerKubernetesMLflowFastAPIReactSageMaker
Source: Workable. Last checked as open: 14 Nov 2026. You apply directly with the employer.
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