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Posted 18 days ago

AI Engineer, SpecialistMaster-Works · Riyadh

AI Engineer, Specialist

RiyadhOn-site

AI Summary

Develops, optimizes, tests, and deploys AI and machine learning solutions across computer vision, NLP, speech AI, and generative AI, integrating models into enterprise systems and supporting deployment across cloud, on-premises, and edge environments.

About this role

Nabeh a subsidiary of Master Works, delivers AI-powered solutions that help organizations automate operations, boost efficiency, and drive innovation. Its expertise spans computer vision, LLM applications, speech-to-text, data intelligence, and low-code AI solutions.

Nabeh is looking for an AI Engineer, Specialist to develop, optimize, test, and deploy AI and machine learning solutions across Computer Vision, Natural Language Processing (NLP), Speech AI, and Generative AI.

Key Responsibilities

  • Design, develop, train, fine-tune, evaluate, and optimize machine learning and deep learning models.
  • Build AI solutions across Computer Vision, NLP, Large Language Models (LLMs), Speech-to-Text, and Text-to-Speech.
  • Prepare, process, and manage datasets for model training, validation, and evaluation.
  • Integrate AI models into enterprise applications and systems using REST APIs.
  • Support AI model deployment across cloud, on-premises, and edge environments.
  • Collaborate with AI, Backend, DevOps, and QA teams to move prototypes into production.
  • Monitor model performance, troubleshoot issues, and maintain technical documentation.

Requirements

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
  • 3–5 years of hands-on experience in AI/ML engineering and model development.
  • Strong proficiency in Python and experience with PyTorch or TensorFlow.
  • Knowledge of Computer Vision, NLP, LLMs, and Speech AI.
  • Experience with REST APIs, SQL, Pandas, and NumPy.
  • Familiarity with Git, Docker, and foundational MLOps practices.
  • Understanding of the AI/ML lifecycle, including model development, evaluation, deployment, and monitoring.
  • Strong analytical thinking, problem-solving, and troubleshooting skills.

Skills

Computer VisionDockerGitLarge Language ModelsMLOpsNatural Language ProcessingNumPyPandasPythonPyTorchREST APISpeech-to-textSQLTensorFlowText-to-speech

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