Maaden, a leading mining company, is seeking a Lead Engineer, AI & Machine Learning to drive operational excellence through AI and ML solutions. The successful candidate will provide expert guidance and leadership on AI/ML architecture and initiatives. This role offers a chance to contribute to the company's ambitious growth and shape the future of mining in Saudi Arabia.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Maaden Brief:
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 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.
Role Profile:
Job Title: Lead Engineer, AI & Machine Learning
Business Unit/Function: Aluminium BU’s / TCI
Department: Technology and Sustainability
Job Location: Ras Al Khair
Working hours: 8 hours
Job post duration: starting 22 November 2025 - end date: 10 Dec 6, 2025
Type of work: Full-time
Job Purpose:
The Lead Engineer, AI & Machine Learning, plays a critical role in shaping the organization's AI, machine learning, and advanced analytics strategy. This position is responsible for providing expert guidance and leadership on all aspects of AI/ML architecture, initiatives, and the integration of advanced technologies to drive operational excellence. The Lead Engineer works closely with business stakeholders, engineers, IT professionals, and cross-functional teams to ensure that AI and ML efforts align with organizational goals and deliver measurable business value.
🔑Key Accountabilities:
- Designing and developing AI and machine learning solutions that support business requirements and operational efficiency
- Collaborating with business stakeholders to understand AI/ML needs and develop solutions that align with strategic objectives
- Defining and implementing governance processes to ensure the integrity, security, and compliance of AI-driven systems
- Evaluating and recommending new tools and technologies to enhance AI and ML practices
- Leading the design and implementation of AI/ML solutions to enable data-driven decision-making across the organization
- Mentoring and coaching team members on best practices in AI, machine learning, and technology adoption
- Participating in cross-functional teams to implement solutions that support business initiatives and improve operational performance
- Monitoring and optimizing the performance, scalability, and reliability of AI/ML systems to ensure high availability and quality
- Collaborating with IT and engineering teams to define standards, metrics, and principles that guide AI and ML practices
- Staying current on industry trends and best practices in AI, machine learning, digital transformation, and technology innovation to drive continuous improvement
Minimum Qualifications, Experience and Competencies
Minimum Qualifications:
-Bachelor's degree in a related field such as Engineering, Computer Science, Information Technology, Data Science, or a related discipline.
Minimum Experience:
-10+ years of experience in AI, machine learning, data science, automation, or related fields, preferably within mining and metals or industrial sectors.
Ma’aden High-Performance Competencies:
- Performance management
- Team development and capability building
- Leadership
- Teamwork
- Integrity
- Care
- Ownership
- Accountability
- Communication
- Continuous improvement
- Achievement Drive
- Decisiveness and judgement
- Impact and influence
- Commercial Acumen
- Strategic Visioning
Skills:
- Strong knowledge of AI, machine learning, automation, and digitalization principles and best practices
- Proficiency in designing and implementing AI and ML solutions
- Experience in developing and maintaining AI/ML strategies and roadmaps
- Ability to design and implement governance processes and policies for AI-driven systems
- Familiarity with data engineering, data quality, data security, and system reliability standards
- Experience in digital platforms, AI/ML frameworks, and industrial automation technologies
- Proficiency in data visualization and analytics tools
- Strong analytical and problem-solving skills
- Excellent communication and stakeholder management skills.
We offer a comprehensive benefits package, including medical, relocation, housing, transportation, performance/loyalty bonuses, and professional development.
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