Lead Digital Solutions Analyst - Data Science Saudi Arabia

Eram Talent; Dubai; Presencial; AED 350.000 - 700.000; Jornada completa

Descripción de la vacante

Eram Talent seeks an experienced Lead Digital Solutions Analyst to drive AI initiatives and help develop next-generation AI solutions. You will work on AI modules, scalable data pipelines, backend infrastructure, and real-time data processing systems.

You will support research on sovereign AI technologies including LLMs, time-series models, and vision models, collaborating with cross-functional teams to deliver AI-driven solutions.

Formación

• Bachelor's degree in Graphic Design or equivalent qualification.
• Minimum 10 years of relevant experience in graphic design, data science, AI technologies, or 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 is an advantage.
• Strong analytical, problem-solving, and collaboration skills.

Responsabilidades

• 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.
• Collaborate with cross-functional teams to develop, integrate, and optimize AI-driven solutions.

Conocimientos

AI technologies

Real-time data processing

Scalable backend

Event-driven architecture

Microservices

Agentic AI

Data pipelines

Feature engineering

Educación

Bachelor's degree in Graphic Design

Descripción del empleo

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.

Requirements

• Bachelors 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.