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Artificial Intelligence Engineer

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: Raqmiyat
Full Time position
Listed on 2026-04-06
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 SAR Yearly SAR 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Riyadh, Saudi Arabia | Posted on 04/03/2026

Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.

Job Description

Job Overview:

We are looking for a motivated and innovative Artificial Intelligence Engineer with 3+ years of experience in designing, developing, and deploying AI/ML solutions. The ideal candidate should have hands-on experience in machine learning, data modeling, Python programming, and AI solution development
, with the ability to transform business requirements into intelligent systems and predictive models.

Key Responsibilities:

  • Design, develop, and deploy AI and machine learning models for business use cases.
  • Build and optimize predictive, classification, and recommendation models
    .
  • Work with large datasets to perform data preprocessing, feature engineering, and model training
    .
  • Develop AI-driven solutions using Python and machine learning frameworks
    .
  • Evaluate model performance and improve accuracy through tuning and validation techniques.
  • Collaborate with stakeholders to understand business problems and translate them into AI use cases.
  • Integrate AI models into applications, dashboards, or enterprise systems.
  • Monitor deployed models and ensure continuous performance improvement.
  • Prepare technical documentation and support ongoing enhancements.
Requirements
  • 3+ years of experience in Artificial Intelligence / Machine Learning Engineering
  • Strong proficiency in Python
  • Hands-on experience with machine learning algorithms and model development
  • Experience with libraries such as Tensor Flow, PyTorch, Scikit-learn, Pandas, and Num Py
  • Good understanding of data structures, statistics, and predictive analytics
  • Experience in data cleaning, feature engineering, and model evaluation
  • Knowledge of SQL and database management
  • Strong problem-solving and analytical skills
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