Senior Specialist, Data Science & Artificial Intelligence II

Job in Riyadh, Riyadh Region, Saudi Arabia

Listing for: Maaden Saudi Arabian Mining Company

Full Time position
Listed on 2026-06-21

Job specializations:

IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Data Analyst

Salary/Wage Range or Industry Benchmark: 120000 - 150000 SAR Yearly SAR 120000.00 150000.00 YEAR

Job Purpose

Design, develop, and deploy machine learning and Generative AI solutions to solve defined business problems, ensuring technical robustness, model performance, and responsible AI implementation.

Key Accountabilities

Develop, test, and validate machine learning, deep learning, and Generative AI models (including LLM-based applications).

Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines.

Perform feature engineering, model tuning, and performance optimization.

Prepare, cleanse, and transform structured and unstructured datasets.

Support deployment of ML and GenAI models using MLOps and LLMOps practices.

Conduct structured evaluation of LLM outputs including hallucination detection and quality scoring.

Integrate AI solutions via APIs into enterprise systems.

Document model design, assumptions, risks, and validation results.

Ensure compliance with data governance, cybersecurity, and ethical AI guidelines.

Support monitoring, retraining, and lifecycle management of deployed models.

Minimum Qualification, Experience and Competencies

Minimum Qualification
Bachelor’s degree in Data Science, Artificial Intelligence, Computer Science, or a related quantitative field

Minimum Experience
4–6 years in data science, machine learning, or applied AI roles.

Skills:
Python, SQL, ML frameworks (Tensor Flow, PyTorch, Scikit-learn)
Prompt engineering
RAG pipelines & vector databases
Model fine-tuning and evaluation
Data preprocessing & feature engineering
Basic cloud deployment concepts
MLOps / LLMOps fundamentals
Analytical problem-solving
Results Orientation
Collaboration
Continuous Improvement
Accountability

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