Senior AI Engineer

Mozn Ai; Riyadh; On-site; SAR 350,000 - 550,000; Full time

Benefits offered by this job

Competitive compensation

Top-tier health insurance

Autonomy and runway to do best work

Dynamic AI-focused team

Impactful enterprise projects

Job summary

Mozn Ai in Saudi Arabia is seeking a Senior AI Engineer to lead design, deployment, and optimization of ML and generative AI solutions for government and enterprise clients.

You will own end-to-end delivery from data pipelines to APIs, work across on-prem and cloud, and collaborate with stakeholders to deliver scalable, secure AI capabilities.

Qualifications

• 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.
• Experience with Docker, Kubernetes, MLflow, Ollama for ML lifecycle and local LLMs.
• Knowledge of on-premise infra, security, and enterprise architectures.

Responsibilities

• Design, build, and scale ML models and infrastructure.
• Deploy deep learning and generative models to production for public and private sector projects.
• Optimize ML training and inference for performance, latency, and scalability.
• Monitor, retrain, and improve deployed ML models.
• Own end-to-end delivery of AI solutions including data pipelines and APIs.
• Develop data ingestion, transformation, and processing pipelines.
• Create backend services and APIs exposing AI capabilities.
• Integrate AI with enterprise systems and third-party platforms.
• Build frontend dashboards and interfaces for AI apps.
• Ensure secure network configurations for internal AI services.

Skills

Python

ML engineering

Data engineering

AI deployment

REST APIs

Education

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

Tools

Docker

Kubernetes

MLflow

Ollama

SageMaker

Vertex AI

React

Next.js

FastAPI

Flask

Django

Node.js

Job description

MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence. We're a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact. If you're passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.

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'll 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

Requirements

• 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)
• Skilled in on-premise infrastructure design and enterprise architecture frameworks, with strong adherence to security and compliance best practices
• Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, and storage optimization) and secure network configurations for internal AI services
• Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science)
• Familiarity with MLOps practices and automation pipelines
• Strong end-to-end engineering capabilities across AI, data engineering, backend development, APIs, integrations, and application deployment
• Experience building data ingestion, transformation, and processing pipelines
• Familiarity with backend frameworks such as FastAPI, Flask, Django, Node.js, or equivalent technologies
• Experience designing and consuming REST APIs, webhooks, and enterprise integration interfaces
• Working knowledge of frontend technologies such as React, Next.js, JavaScript, TypeScript, HTML, and CSS
• Experience integrating AI solutions with databases, enterprise applications, identity and access management systems, and third-party services
• Ability to independently build functional AI applications from prototype through production
• Experience effectively using AI-assisted software development tools to accelerate prototyping and delivery

Benefits

• You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.

• You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.

• The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best

• You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.

• We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.