Lead Digital Solutions Analyst - Data science (Saudi Arabia)

Eram Talent

Dubai, United Arab Emirates3d ago

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Key details

Location
Dubai, United Arab Emirates
Work style
Onsite
Level
Senior
Job type
Full-time
Experience
10–13 yrs
Function
Data & ML
Focus area
AI / ML
Posted
3d ago

Skills

agentic aicomputer visiondata ingestiondata pipelinesdata scienceevent-driven architecturegraphic designllmmicroservices

About the 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.

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