Lead Digital Solutions Analyst - Data Science
Dhahran, Eastern Province, Saudi Arabia · Full Time
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- Experience
- 10+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 2 weeks ago
- Work mode
- In office
- Education
- Bachelor's Degree
- Resume
- Required to apply
Where you'll work
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Job description
Role Overview
We are looking for a seasoned Lead Digital Solutions Analyst to drive advanced artificial intelligence technology projects and play a key role in creating next-generation AI systems. This role involves designing AI modules, scalable data architectures, backend systems, and real-time data processing platforms that aid the advancement of Large Language Models, Large Time-Series Models, and Large Vision Models.
Key Responsibilities
- Create and deploy AI modules, pipelines, and services focused on cutting-edge AI technologies.
- Engineer scalable backend frameworks that enable real-time data intake, AI inferencing, and end-user interaction.
- Develop components for processing streaming data using event-driven system design.
- Implement microservices and agentic AI architectural patterns to ensure system scalability and flexibility.
- Construct data pipelines that handle preprocessing, normalization, labeling, transformation, feature extraction, and data storage.
- Contribute to research and development efforts pertaining to sovereign AI platforms, especially in language, time-series, and vision domains.
- Work collaboratively across departments to integrate, enhance, and deploy AI-centric solutions.
Qualifications and Experience
- Bachelor’s degree in Graphic Design or a closely related field as defined by the position requirements.
- At least 10 years in relevant roles involving graphic design, data science, AI development, or related domains.
- Hands-on experience developing AI solutions, managing data pipelines, or deploying AI technology implementations.
- Proficient understanding of backend systems, real-time data workflows, and event-driven system models.
- Knowledge of microservices architectures and agentic AI methods geared toward scalable AI applications.
- Skills in data preprocessing, feature engineering, transformation, and data storage techniques.
- Familiarity or exposure to Large Language Models, time-series modeling, or computer vision considered a plus.
- Excellent analytical thinking, problem-solving, and teamwork capabilities.
Minimum education
Bachelor's Degree