Senior AI & Data Science Specialist

Ma'aden Gold and Base Metals (MGBM); Riyadh; On-site; SAR 250,000 - 450,000; Full time

Job summary

Ma'aden Gold and Base Metals (MGBM) is seeking a Senior Specialist in Data Science & AI II to accelerate business value through advanced analytics and GenAI solutions. You will develop and deploy ML/AI models, manage data preparation, and ensure responsible AI practices across the enterprise.

The role focuses on scalable AI applications, model optimization, deployment monitoring, and governance to deliver measurable improvements in efficiency and decision support while aligning with enterprise

Qualifications

• Bachelor’s degree in Data Science, AI, Computer Science or related quantitative discipline.
• 4–6 years of experience in data science, ML, AI, or advanced analytics roles.
• Experience developing and deploying ML/AI solutions in business environments.
• Experience working with structured and unstructured data for analytics and AI use cases.
• Experience supporting AI deployment, monitoring, and model lifecycle management.

Responsibilities

• Develop and deploy machine learning, deep learning, and Generative AI solutions addressing strategic challenges.
• Design scalable AI applications to improve decision-making, productivity, and automation.
• Accelerate AI adoption through advanced analytics and emerging technologies.

Skills

Machine Learning

Deep Learning

Generative AI

LLMs

Prompt Engineering

RAG

Model Fine-Tuning

Evaluation

Data Preparation

Feature Engineering

Education

Bachelor’s degree in Data Science or related field

Tools

Python

SQL

TensorFlow

PyTorch

Scikit-Learn

MLOps

LLMOps

API Integration

Job description

Ma'aden Gold and Base Metals (MGBM) is seeking a Senior Specialist in Data Science & AI II to accelerate business value through advanced analytics and GenAI solutions. You will develop and deploy ML/AI models, manage data preparation, and ensure responsible AI practices across the enterprise.

The role focuses on scalable AI applications, model optimization, deployment monitoring, and governance to deliver measurable improvements in efficiency and decision support while aligning with enterprise