AI Engineer: GenAI & Production ML for Enterprise

Mozn Ai; Riyadh; On-site; SAR 320,000 - 520,000; Full time

Benefits offered by this job

Competitive compensation

Top-tier health insurance

Growth opportunities

Job summary

Mozn Ai is seeking an AI Engineer to lead design, deployment, and optimization of machine learning and generative AI solutions for government and enterprise clients in Saudi Arabia. You will own end-to-end delivery—data pipelines, model development, backend services, APIs, and interfaces—driving scalable AI capabilities.

You will work across on-prem and cloud environments, with deep experience in Python, ML frameworks, containerization, and enterprise integration.

Qualifications

• Bachelor's or master's degree in computer science or related field.
• 3–5 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).
• Security and compliance best practices in enterprise environments.
• Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science) and MLOps pipelines.
• End-to-end engineering capabilities across AI, data engineering, backend, APIs, integrations, and deployment.

Responsibilities

• Design, build, and scale ML models and infrastructure.
• Deploy deep learning and generative models into production for public/private sector projects.
• Optimize ML training and inference for performance, latency, and scalability.
• Monitor, retrain, and improve deployed ML models.
• Provide expert guidance to client stakeholders and drive AI solution delivery end-to-end.
• Develop data pipelines, backend services, APIs, and integrations for AI solutions.
• Build data ingestion, transformation, and processing pipelines for structured and unstructured data.
• Develop frontend interfaces and dashboards for AI-powered solutions.
• Ensure secure, reliable integration with enterprise systems and databases.

Skills

ML engineering

Software engineering

Data science

Cloud & on-prem deployment

Education

Bachelor's or master's degree in computer science or related field

Tools

Docker

Kubernetes

MLflow

Ollama

SageMaker

Vertex AI

OCI Data Science

FastAPI

Flask

Django

React

Next.js

Node.js

REST APIs

Job description

Mozn Ai is seeking an AI Engineer to lead design, deployment, and optimization of machine learning and generative AI solutions for government and enterprise clients in Saudi Arabia. You will own end-to-end delivery—data pipelines, model development, backend services, APIs, and interfaces—driving scalable AI capabilities.

You will work across on-prem and cloud environments, with deep experience in Python, ML frameworks, containerization, and enterprise integration.