AI Engineer, Specialist
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Before you apply
LocationRiyadh, Riyadh Province, Saudi Arabia
Typefull-time
SeniorityMid
Experience3–5 yrs
DepartmentNabeh Company
Company size201–500 people
PostedOct 18, 2026 · 2w ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
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
Experience with PyTorch or TensorFlow
Knowledge of Computer Vision
Knowledge of NLP
Knowledge of LLMs
Knowledge of Speech AI
Experience with REST APIs
Experience with SQL
Experience with Pandas
Experience with NumPy
Familiarity with Git
Familiarity with Docker
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
Python
PyTorch
TensorFlow
REST APIs
SQL
Pandas
NumPy
Git
Docker
MLOps
About the company
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.
About the role
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
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Design, develop, train, fine-tune, evaluate, and optimize machine learning and deep learning models.
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Build AI solutions across Computer Vision, NLP, Large Language Models (LLMs), Speech-to-Text, and Text-to-Speech.
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Prepare, process, and manage datasets for model training, validation, and evaluation.
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Integrate AI models into enterprise applications and systems using REST APIs.
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Support AI model deployment across cloud, on-premises, and edge environments.
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Collaborate with AI, Backend, DevOps, and QA teams to move prototypes into production.
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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.