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Artificial Intelligence Engineer

AIcast | الذكاء الاصطناعي
Riyadh, KSA
Full Time
Mid
Onsite
2 weeks ago
Machine LearningDeep LearningNatural Language ProcessingPythonPyTorchTensorFlow
Free

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Machine LearningDeep LearningNatural Language Processing
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Role Description

  • The Artificial Intelligence Engineer will design, develop, and deploy AI models and systems that support AIcast’s analytical content and technology products.
  • Day to day responsibilities include building and optimizing machine learning and deep learning models, implementing natural language processing pipelines, and integrating AI solutions into production grade software.
  • The engineer will collaborate closely with editorial, product, and data teams to translate domain requirements into technical solutions, ensure model performance and reliability, and maintain scalable codebases and infrastructure.
  • This is a full time, on site role located in the Riyadh Region, requiring close coordination with local stakeholders and alignment with Saudi market and policy priorities.

Qualifications

  • Strong foundation in Computer Science, including algorithms, data structures, and software engineering principles.
  • Proficiency in Neural Networks and Pattern Recognition, with experience training, evaluating, and optimizing models.
  • Hands on experience in Software Development, including building, testing, and deploying production ready AI systems.
  • Practical expertise in Natural Language Processing (NLP), especially applied to Arabic and English text, is highly preferred.
  • Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow, scikit learn) and familiarity with modern MLOps practices.
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
  • Experience working with cloud platforms, data pipelines, and APIs; ability to design scalable, maintainable architectures.
  • Strong analytical and communication skills, with the ability to collaborate effectively in cross functional teams and adapt to a fast evolving AI ecosystem.

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