Lead Digital Solutions Analyst - Data science (Saudi Arabia)
Summary
Lead analyst building advanced AI solutions: develops AI modules, scalable backend infrastructure, and real-time event-driven data pipelines supporting LLM, time-series, and vision model development. Day to day spans data preprocessing, feature engineering, and cross-functional collaboration on sovereign AI initiatives.
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
As published by workable · 4 questions
Basics
First name, Last name, Email, Phone, Address, Date of Birth, Nationality, Education, Experience, Resume, Current Work Location, Highest Education Qualification, Name of University, Major of Study, Country of Study, Date of Graduation, GPA, Out of :, Total Years of Work Experience, Notice Period, Current Monthly Salary, Expected Salary
Pick from a list (4)
- Do you have a Bachelor's degree in Graphic Design or an equivalent qualification?
- Do you have a minimum of 10 years of relevant professional experience?
- Do you have experience in AI technologies, data science, or AI solution development?
- Do you have experience with AI pipelines, real-time data processing, or scalable backend infrastructure