متخصص رئيسي، علوم البيانات والذكاء الاصطناعي الثاني

Maaden, established in 1997, is one of the fastest-growing mining companies in the world and the largest multi-commodity mining and metals company in the Middle East. We are leading the development of the mining industry to become the third pillar of Saudi Arabia’s economy by building a world-class, unique, and fully integrated mining value chain. We are pleased to share an exciting opportunity for the below mentioned position. This role offers a chance to contribute to our ambitious growth and play a key part in shaping the future of mining in the Kingdom. Job Purpose Lead and develop end-to-end machine learning and Generative AI solutions, ensuring architectural integrity, technical excellence, and business alignment while mentoring team members and driving successful delivery. Key Accountabilities Lead and actively develop ML, deep learning, and Generative AI solutions. Design and implement LLM-based applications including RAG pipelines and embeddings strategies. Own solution architecture from problem framing to production deployment. Establish MLOps and LLMOps practices for deployment, monitoring, and retraining. Define evaluation standards, guardrails, and AI safety controls. Mentor team members and drive cross-functional collaboration. Ensure compliance with data governance and responsible AI standards. Minimum Qualification, Experience and Competencies Minimum Qualification Bachelor’s degree in Data Science, Artificial Intelligence, Computer Science, or a related quantitative field Minimum Experience 7–9 years of experience in data science and AI, including leading end-to-end ML and Generative AI initiatives. Skills: Advanced ML & deep learning LLM architecture design API orchestration & system integration AI safety & risk mitigation Enterprise AI deployment Cloud AI platforms (Azure, AWS, GCP) Technical leadership & stakeholder engagement Solution architecture thinking Benefits 1. Career Growth 2. Competitive Salaries 3. Comprehensive Package 4. Inclusive Work Environment 5. Work-Life Balance 6. Employee wellness