Lead Digital Solutions Analyst - Data science (Saudi Arabia)
Role Overview
Lead Digital Solutions Analyst supporting advanced AI technology initiatives and development of next-generation AI solutions.
Work includes AI modules, scalable data pipelines, backend infrastructure, and real-time data processing for Large Language Models, Large Time-Series Models, and Large Vision Models.
Key Skills for This Role
Full Job Posting
Role summary
Lead Digital Solutions Analyst supporting advanced AI technology initiatives and development of next-generation AI solutions.
Work includes AI modules, scalable data pipelines, backend infrastructure, and real-time data processing for Large Language Models, Large Time-Series Models, and Large Vision Models.
Key responsibilities
- Develop and implement AI modules, pipelines, solutions, and services for advanced AI technologies.
- Design scalable backend infrastructure for real-time data ingestion, AI model inference, and user access; build real-time components using event-driven architecture.
- Apply microservices and agentic AI architectures and develop data pipelines for preprocessing, normalization, labelling, transformation, feature engineering, and storage.
- Support sovereign AI R&D, including Large Language Models, Large Time-Series Models, and Large Vision Models; collaborate to develop, integrate, and optimize AI-driven solutions.
Requirements
- Bachelor's degree in Graphic Design or an equivalent qualification, as specified for the position.
- At least 10 years of relevant professional experience in graphic design, data science, AI technologies, or a related field.
- Experience in AI solution development, data pipelines, or AI technology implementation; knowledge of backend infrastructure, real-time processing, and event-driven architectures.
- Familiarity with microservices, agentic AI architectures, and scalable AI applications; understanding of data preprocessing, transformation, feature engineering, and storage.
- Exposure to Large Language Models, time-series models, or computer vision technologies is an advantage.
- Strong analytical, problem-solving, and collaboration skills.
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