Summary
Nabeh, a subsidiary of Master Works, develops AI-powered solutions for organizations. The AI Engineer will build, train, evaluate, optimize, and deploy machine learning solutions across computer vision, NLP, LLMs, and speech AI. The role also includes preparing datasets, integrating models through REST APIs, supporting deployment across cloud, on-premises, and edge environments, and monitoring model performance. Applicants need a relevant bachelor's degree, 3–5 years of AI/ML engineering experience, and proficiency in Python with PyTorch or TensorFlow.
The posting
As published on master-works.sa. Pulled from the employer's site and shown as they 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.