AI Engineer

About Mozn 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 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 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) 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…