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AI Engineer, Specialist
Posted by Master-Works on 18 October 2026. Still on their Workable board when we checked 22 min ago. Half of Master-Works's roles come down within 34 days.
What the posting is about
Develop, optimize, and deploy AI/ML models across Computer Vision, NLP, LLMs, and Speech AI. Collaborate with cross-functional teams to move prototypes into production. Monitor model performance and maintain technical documentation.
Read out of the posting
LevelNot stated
Experience asked3+ years
EmploymentNot stated
LocationRiyadh, Saudi Arabia
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-10-18
Found viaworkable, direct from their system
We saw it 7 hours after it went up.
The posting, as the company wrote it
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.
Copied from Master-Works’s own board, not rewritten. Original ↗
Also open at Master-Works
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