Senior Machine Learning Engineer

About Mozn

Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it’s working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organizations, as well as many large corporations and startups.

We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.

About The Role

We are looking for a Senior Machine Learning 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
• Collaborating with data scientists, product managers, and stakeholders to deliver AI-driven insights
• 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
  
  

Qualifications

• Bachelor’s or master’s degree in computer science or related field
• 4+ years of experience in ML engineering, data science, 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
  
  

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