Senior Specialist Data Science & Artificial Intelligence📣 Job Ad

About Ma'aden

Ma'aden - Saudi Arabian Mining Company | معادن, established in 1997, is a multi-commodity mining and metals company in the Middle East. The company is focused on developing the mining industry to support Saudi Arabia’s economy by building an integrated mining value chain. This full-time role is based in Riyadh.

Role Overview

The Senior Specialist, Data Science & Artificial Intelligence role focuses on creating business value through advanced analytics, machine learning, and Generative AI solutions. This position involves transforming data into actionable intelligence to improve decision-making, operational performance, automation, and business outcomes across the enterprise. The specialist will develop scalable, reliable, and responsible AI solutions to address complex business challenges, enhancing efficiency and user experiences through the deployment of machine learning models and GenAI applications. The role requires combining technical expertise with governance, security, and ethical AI practices to ensure solutions deliver measurable value while maintaining trust and compliance.

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.
• Improve model accuracy, reliability, and effectiveness through feature engineering, tuning, evaluation, and optimization techniques.
• 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 suitable 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 Indicators

• AI and machine learning solutions deliver measurable business value and operational improvement.
• Generative AI applications provide accurate, reliable, and high-quality outputs for end users.
• Machine learning models achieve performance targets and remain effective throughout their lifecycle.
• AI solutions are successfully integrated into enterprise processes and systems.
• MLOps and LLMOps practices improve model reliability, scalability, and operational efficiency.
• Governance, security, and responsible AI requirements are consistently embedded within AI initiatives.

Qualifications and Experience

Candidates should possess 5-10 years of relevant experience in data science and artificial intelligence. Specific qualifications were not provided.