Eram Talent
Lead Digital Solutions Analyst - Data science (Saudi Arabia)
🇸🇦 Riyadh, Saudi Arabia🏢 On-site
AIData ScienceLLMData PipelinesMicroservicesBackend InfrastructureAgentic AI
At a Glance
- Category
- 💻 Technology
- Level
- Senior
- Experience
- 10+ years
- Type
- Full-time
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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.
- 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.
Requirements
- •Bachelor's degree in Graphic Design or an equivalent qualification
- •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
- •Strong analytical, problem-solving, and collaboration skills
Nice to Have
- •Exposure to Large Language Models, time-series models, or computer vision technologies
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
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Company
Eram Talent provides recruitment and talent solutions across various industries. They connect employers with skilled professionals to meet their workforce needs.