Posting record
Open 10+ days
- Masterworksco's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Masterworksco, so its true age is longer.
Last checked Nov 3, 2026.
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Upload your resumeWhat it asks of you
- 3–5 years of experience
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
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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