Ma'aden
In this role, you will design, develop, and deploy machine learning and Generative AI solutions aimed at solving defined business challenges. Your focus will be on ensuring the technical robustness of models, optimizing performance, and implementing responsible AI practices.
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
Flow, Py
Torch, Scikit-learn)
Prompt engineering for 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
Benefits
Career Growth
Competitive Salaries
Comprehensive Package
Inclusive Work Environment
Work-Life Balance
Employee wellness
Location
Riyadh, Saudi Arabia
Verified Listing
This role has been verified for authenticity, market-rate compensation, and remote eligibility.
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