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AI Engineer

Cairo, Egypt

AI Engineer

Cairo, Egypt
posted 1 month ago
221Applicants for1 open position
  • 18Viewed
  • 8In Consideration
  • 2Not Selected

Job Details

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Job Description

  • Design, develop, and deploy AI models and algorithms to solve business problems and enhance product capabilities.
  • Collaborate with cross-functional teams including data scientists, engineers, and product managers to integrate AI solutions into existing systems.
  • Conduct data preprocessing, feature engineering, and exploratory data analysis to prepare datasets for modeling.
  • Evaluate and optimize model performance using appropriate metrics and validation techniques.
  • Stay up-to-date with the latest advancements in artificial intelligence, machine learning, and deep learning technologies.
  • Document model architectures, processes, and results to ensure transparency and reproducibility.
  • Implement best practices for version control, code quality, and model deployment in production environments.
  • Troubleshoot and resolve issues related to data quality, model accuracy, and system integration.
  • Contribute to the development of AI-driven tools, APIs, and frameworks to support internal and external stakeholders.
  • Participate in code reviews, knowledge sharing sessions, and continuous improvement initiatives.

Job Requirements

  • Minimum of 2 years of professional experience in artificial intelligence, machine learning, or a related field.
  • Proven experience developing and deploying AI/ML models in production environments.
  • Strong programming skills in Python or similar languages commonly used in AI development.
  • Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Experience working with large datasets, data preprocessing, and feature engineering.
  • Ability to work effectively in a remote environment and collaborate with distributed teams.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills for presenting technical concepts to non-technical stakeholders.
  • Knowledge of best practices in software development, version control, and model lifecycle management.
  • Demonstrated ability to stay current with emerging trends and technologies in AI.

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