Senior AI Engineer
at Mozn Ai
Riyadh, Riyadh Province, Saudi Arabia, onsite, senior, full time, 5+ years
posted 27 Jul 2026
- CSS
- MLflow
- Node.js
- HTML
- Next.js
- ONNX
- React
- SageMaker
- TypeScript
- PyTorch
- Docker
- Ollama
- Vertex AI
- Django
- OCI Data Science
- JavaScript
- FastAPI
- Python
- TensorFlow
- Kubernetes
- Flask
About the role
We are looking for a Senior AI Engineer to lead the design, deployment, and optimization of machine learning and generative AI solutions. The role focuses on applying advanced ML techniques to solve real-world challenges across government and enterprise clients in Saudi Arabia.
What you would do
- Designing, building, and scaling machine learning models and infrastructure
- Deploying deep learning and generative models into production for public and private sector projects
- Optimizing ML training and inference for performance, latency, and scalability
- Monitoring, retraining, and improving deployed ML models
- Driving consultation efforts, providing expert guidance to client stakeholders
- Own the end-to-end delivery of AI solutions, including data pipelines, model development, backend services, APIs, integrations, user interfaces, deployment, and operations
- Design and build data ingestion, transformation, and processing pipelines for structured and unstructured data
- Develop backend services and APIs to expose AI capabilities securely and reliably
- Build or contribute to frontend applications, dashboards, and interfaces for AI-powered solutions
- Integrate AI solutions with enterprise systems, databases, authentication services, and third-party platforms
What they are looking for
- Bachelor's or master's degree in computer science or related field
- 5+ years of experience across software engineering, ML engineering, data science, data engineering and generative AI.
- Strong track record of projects across public and private sectors
- Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks
- Expertise in containerization and orchestration technologies (Docker, Kubernetes), with hands-on experience in ML lifecycle management (MLflow) and local LLM deployment frameworks (Ollama)
Read from apply.workable.com, last seen 3d ago.