AI Data & Analytics Specialists📣 Job Ad

About the AI Data & Analytics Specialist Roles

Elite Digital Technologies is seeking experienced professionals for multiple AI, Machine Learning, Data, and Analytics roles to support advanced AI and data-driven initiatives in Riyadh, Saudi Arabia. These positions are offered on a contract basis.

Available Positions

Applicants are invited to apply for roles based on their specialization and experience level. The available positions include:

• AI Engineer (Mid-Level, Senior, Staff): Focuses on designing and developing AI agents, LLM-based solutions, RAG pipelines, document understanding systems, information retrieval, transcription workflows, and multi-agent systems.
• Machine Learning Engineer (Mid-Level, Senior, Staff): Involves developing, training, fine-tuning, evaluating, and deploying machine learning and deep learning models for various use cases including classification, regression, recommendation, analytics, and LLM fine-tuning.
• Data Scientist (Mid-Level, Senior, Staff): Responsible for data analysis, exploratory data analysis, statistical modeling, machine learning experimentation, A/B testing, insight generation, and providing business recommendations.
• MLOps Engineer (Mid-Level, Senior, Staff): Manages AI/ML infrastructure, model deployment pipelines, model lifecycle automation, monitoring, CI/CD, GPU infrastructure, and production model serving in secure environments.
• Computer Vision Engineer (Mid-Level, Senior, Staff): Engaged in image/video processing, OCR, document layout analysis, object detection, image classification, segmentation, motion tracking, multimodal AI, and vision-language model integration.
• AI Product Manager (Mid-Level, Senior, Staff): Defines AI product vision, roadmap, requirements, manages stakeholder alignment, product lifecycle, KPI tracking, and coordinates with technical teams.
• Data Engineer (Mid-Level, Senior, Staff): Builds ETL/ELT pipelines, data warehouses, data marts, data lakes, vector database pipelines, data quality processes, and ensures secure data access.
• BI Developer (Mid-Level, Senior, Staff): Focuses on data analysis, BI reporting, dashboard development, data warehouse support, KPI reporting, performance optimization, and executive reporting.
• Data Analyst (Mid-Level, Senior, Staff): Collects, cleans, analyzes, visualizes, and interprets data to support business decisions, KPI monitoring, deviation analysis, and reporting.
• AI Consultant (Expert): Advises stakeholders on AI strategy, solution design, feasibility, implementation approach, governance, evaluation, and adoption of AI, ML, data, and analytics solutions.

Experience Requirements

Experience levels are defined as follows:

• Mid-Level: 3–5 years of relevant experience.
• Senior: 5–8 years of relevant experience.
• Staff / Expert: More than 8 years of relevant experience.
• AI Consultant: More than 8 years of relevant consulting or AI delivery experience.

Common Qualifications and Skills

All candidates are expected to meet the following requirements:

• A Bachelor’s degree in Computer Science, Computer Engineering, Artificial Intelligence, Software Engineering, Data Science, or a related field.
• A Master’s degree and relevant professional certifications are preferred.
• Strong practical experience in the selected role and related technologies.
• Experience in enterprise, government, or secure technical environments is preferred.
• Ability to work onsite in Riyadh, Saudi Arabia for a 1–3 year contract.
• Strong communication, documentation, teamwork, and problem-solving skills.
• Ability to work effectively with both technical and non-technical stakeholders.
• English language proficiency at an intermediate level or above.
• Capability to prepare technical documentation, reports, dashboards, or presentations as required by the role.
• Knowledge of cybersecurity, data classification, governance, and compliance practices is an advantage.
• Relevant certifications are preferred, such as AI Engineer, Machine Learning Engineer, Generative AI Engineer, AI Security, AI Business, AI Developer, Prompt Engineer, MLOps, BI tools, Informatica, DAMA, or equivalent.

Application Instructions

Candidates should clearly specify the position and level they are applying for in their application (*, “Senior AI Engineer,” “Mid-Level Data Engineer,” “Staff MLOps Engineer,” or “AI Consultant”). Applicants are encouraged to highlight their relevant experience, tools, projects, certifications, and language proficiency.