Senior AI Engineer📣 Job Ad
| Contract Type | Full-time | |
| Workplace type | On-site | |
| Location | Riyadh |
Job Description
About Mozn
Mozn is an Enterprise AI company that assists organizations in making informed decisions within two key areas: Financial Crime Prevention and Enterprise Knowledge Intelligence. The company fosters a collaborative environment, focused on building AI solutions that deliver business value, build trust, and enhance organizational intelligence.
The Role: Senior AI Engineer
Mozn is seeking a Senior AI Engineer for a full-time position in Riyadh, Saudi Arabia. This role requires 5-10 years of experience and involves leading the design, deployment, and optimization of machine learning and generative AI solutions. The Senior AI Engineer will apply advanced ML techniques to address real-world challenges for government and enterprise clients across Saudi Arabia.
Key Responsibilities
- Design, build, and scale machine learning models and associated infrastructure.
- Deploy deep learning and generative models into production for public and private sector projects.
- Optimize ML training and inference processes for performance, latency, and scalability.
- Monitor, retrain, and continuously improve deployed ML models.
- Drive consultation efforts and provide expert guidance to client stakeholders.
- Own the end-to-end delivery of AI solutions, encompassing data pipelines, model development, backend services, APIs, integrations, user interfaces, deployment, and operations.
- Design and build data ingestion, transformation, and processing pipelines for both 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.
Required Qualifications and Experience
- Demonstrated track record of successful projects across public and private sectors.
- Proficiency in on-premise infrastructure design and enterprise architecture frameworks, with adherence to security and compliance best practices.
- Deep understanding of hardware provisioning for local LLM deployments, including GPU, RAM, and storage optimization, and secure network configurations for internal AI services.
- Experience with cloud ML environments.
- 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.
- Ability to independently build functional AI applications from prototype through production.
- Experience effectively using AI-assisted software development tools to accelerate prototyping and delivery.
Technical Skills
- Familiarity with backend frameworks.
- Experience designing and consuming REST APIs, webhooks, and enterprise integration interfaces.
- Working knowledge of frontend technologies.
- Experience integrating AI solutions with databases, enterprise applications, identity and access management systems, and third-party services.
Benefits and Work Environment
Mozn offers competitive compensation and top-tier health insurance. The company provides a supportive culture within a dynamic workplace, fostering an environment where individuals are empowered to contribute their best work alongside a diverse team.
Requirements
- Requires 5-10 Years experience
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