Senior Specialist Data Science & Artificial Intelligence📣 Job Ad

About Ma'aden

Ma'aden, established in 1997, is a multi-commodity mining and metals company in the Middle East. The company is involved in developing the mining industry to support Saudi Arabia’s economy by building an integrated mining value chain. This role contributes to the company's growth and the development of mining in the Kingdom.

Role Overview

The Senior Specialist, Data Science & Artificial Intelligence role focuses on accelerating business value through advanced analytics, machine learning, and Generative AI solutions. This position transforms data into actionable intelligence to improve decision-making, operational performance, automation, innovation, and business outcomes across the enterprise. The role involves developing scalable, reliable, and responsible AI solutions to address complex business challenges, enhancing efficiency, user experiences, and digital transformation opportunities. The position is full-time and based in Riyadh, requiring 2-5 years of experience.

Key Responsibilities

• Develop and deploy machine learning, deep learning, and Generative AI solutions for strategic and operational business challenges.
• Design scalable AI applications to improve decision-making, productivity, automation, and business performance.
• Accelerate AI adoption through advanced analytics and emerging AI technologies.
• Improve model accuracy, reliability, and effectiveness using feature engineering, tuning, evaluation, and optimization techniques.
• Strengthen AI outcomes through robust testing, validation, and continuous performance enhancement.
• Build and enhance GenAI applications using prompt engineering, retrieval-augmented generation (RAG), and large language model technologies.
• Transform structured and unstructured data into high-quality datasets for AI and machine learning applications.
• Support deployment, monitoring, retraining, and lifecycle management of AI solutions using MLOps and LLMOps practices.
• Ensure AI solutions comply with enterprise governance, cybersecurity, privacy, and ethical AI requirements.

Performance Outcomes

• Deliver measurable business value and operational improvement through AI and machine learning solutions.
• Provide accurate, reliable, and high-quality outputs for end users via Generative AI applications.
• Achieve and maintain performance targets for machine learning models throughout their lifecycle.
• Successfully integrate AI solutions into enterprise processes and systems.
• Improve model reliability, scalability, and operational efficiency through MLOps and LLMOps practices.
• Consistently embed governance, security, and responsible AI requirements within AI initiatives.

Qualifications and Experience

• 2-5 years of experience in data science and artificial intelligence.
• Demonstrated ability to develop and deploy machine learning, deep learning, and Generative AI solutions.
• Experience with prompt engineering, retrieval-augmented generation (RAG), and large language model technologies.
• Proficiency in data preparation, cleansing, and feature development practices.
• Familiarity with MLOps and LLMOps practices for AI operations and lifecycle management.
• Understanding of enterprise governance, cybersecurity, privacy, and ethical AI requirements.

Work Environment

This is a full-time position located in Riyadh. The role involves working within a team focused on digital transformation and innovation within the mining industry.