AI Engineer, Specialist
- Level
- Mid
Not stated in the posting: salary, work type, visa.
Open. First seen 18 October 2026.
What this role asks for
Particular to this role
Deep Learning · NLP · NumPy · Pandas · TensorFlow
Rare in Master-Works's other 24 open postings.
Standard for data science / ML roles
LLM · Machine Learning · PyTorch · Python · SQL
Common in data science / ML postings at any company.
Read against Master-Works's other open postings on this site.
The team: Nabeh Company
This role is one of 4 open in Nabeh Company. 4 were posted in the last 30 days.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Computer Vision (4 of 4), LLM (4 of 4), Generative AI (3 of 4), Agile (2 of 4), Machine Learning (2 of 4), REST (2 of 4)
OTHER ROLES ON THIS TEAM
- AI Business, Analyst posted Oct 18
- AI Project Manager, Senior posted Oct 17
- AI Sales, Director posted Oct 12
From the team and dates on Master-Works's own job board.
About the 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.
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