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Artificial Intelligence Engineer

Raqmiyatالرياض, KSA1 months agoMid-Seniorfulltime
GitMachine LearningPython
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Via Indeed·

About This Role

Job Information

Date Opened

04/03/2026Job Type

Full timeJob Opening Status

In-progressWork Experience

4-5 yearsIndustry

TechnologyCity

RiyadhState/Province

Ar RiyadCountry

Saudi ArabiaZip/Postal Code

11564### About Us

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 TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy
  • 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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