
Posted 11 days ago
Lead Digital Solutions Analyst - Data science (Saudi Arabia)
Dhahran, Eastern Province, Saudi ArabiaOn-siteFull-time
AI Summary
Lead Digital Solutions Analyst develops AI modules, scalable data pipelines, backend infrastructure, and real-time processing systems for LLMs, time-series, and vision models.
About this role
We are seeking an experienced Lead Digital Solutions Analyst to support advanced AI technology initiatives and contribute to the development of next-generation AI solutions. The successful candidate will work on AI modules, scalable data pipelines, backend infrastructure, and real-time data processing systems, supporting the development of Large Language Models (LLMs), Large Time-Series Models, and Large Vision Models.
Key Responsibilities
- Develop and implement AI modules, pipelines, solutions, and services for advanced AI technologies.
- Design and develop scalable backend infrastructure to support real-time data ingestion, AI model inference, and user access.
- Build real-time data processing components using event-driven architecture.
- Apply microservices and agentic AI architectures to support scalability and flexible system development.
- Develop data pipelines for data preprocessing, normalization, labelling, transformation, feature engineering, and storage.
- Support research and development initiatives for sovereign AI technologies, including Large Language Models, Large Time-Series Models, and Large Vision Models.
- Collaborate with cross-functional teams to develop, integrate, and optimize AI-driven solutions.
Requirements
- Bachelor's degree in Graphic Design or an equivalent qualification, as specified for the position.
- Minimum 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 data processing, and event-driven architectures.
- Familiarity with microservices, agentic AI architectures, and scalable AI applications.
- Understanding of data preprocessing, transformation, feature engineering, and data storage.
- Exposure to Large Language Models, time-series models, or computer vision technologies is an advantage.
- Strong analytical, problem-solving, and collaboration skills.
Skills
AirflowAWSComputer VisionData PipelinesDockerEvent-driven ArchitectureFeature EngineeringGCPGraphQLKafkaKubernetesLLMsMicroservicesPythonPyTorchSparkTensorFlowTime-series Models
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- Market overviewState of tech hiring, September 2026: up 4.8%Tech hiring rose 4.8% month over month in September 2026, with 411,122 new listings. Customer support and account executive roles led the growth.