Lead Digital Solutions Analyst - Data science (Saudi Arabia)

Eram Talent

Dhahran Compound

On-site

SAR 360,000 - 600,000

Full time

2 days ago
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Job summary

Eram Talent is seeking an experienced Lead Digital Solutions Analyst to drive advanced AI initiatives across AI modules, scalable data pipelines, and backend infrastructure. You will contribute to building real-time data processing systems and support the development of sovereign AI technologies.

The role requires collaboration with cross-functional teams to design, implement, and optimize AI-driven solutions, leveraging expertise in AI, data science, and backend architectures.

Qualifications

  • Experience in AI solution development or data pipelines.
  • Knowledge of backend infrastructure and real-time data processing.
  • Familiarity with microservices and scalable AI applications.
  • Exposure to LLMs, time-series models, or computer vision is a plus.
  • Strong analytical, problem-solving, and teamwork skills.
  • Ability to design and implement AI pipelines and services.
  • Experience with AI modules and scalable data architectures.

Responsibilities

  • Develop and implement AI modules, pipelines, solutions, and services for advanced AI technologies.
  • Design 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 R&D initiatives for sovereign AI technologies, including LLMs, time-series models, and vision models.
  • Collaborate with cross-functional teams to develop, integrate, and optimize AI-driven solutions.

Skills

AI technologies
Data science
Real-time processing
Microservices
Agentic AI
Feature engineering
Collaboration

Education

Bachelor's degree in Graphic Design or equivalent

Job description

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.
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