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indeed

Artificial Intelligence Engineer

Raqmiyat
الرياض, KSA
Fulltime
Mid-Senior
3 months ago
GitMachine LearningPython
Free

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In-progress**Work Experience

**4-5 years**Industry

Saudi Arabia**Zip And 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 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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