Posting record
Open 11+ days
- Emaratech'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 Emaratech, so its true age is longer.
Last checked Nov 4, 2026.
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Upload your resumeWhat 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
AI Strategy and Vision
- Develop a comprehensive AI and data science strategy that aligns with the company’s objectives and long-term vision.
- Identify and evaluate opportunities for integrating AI and data science into existing processes and operations to improve efficiency and decision making.
- Lead end-to-end project management of AI initiatives, from conception to deployment and post-implementation evaluation. Collaborate with cross-functional teams to define project scope, requirements, and deliverables.
Data Analysis and Modeling
- Oversee the development of machine learning models and algorithms for various applications, such as predictive analytics, natural language processing, and computer vision.
- Ensure data quality and integrity and implement best practices for data preprocessing and feature engineering and model evaluation.
- Evaluate and select appropriate tools, technologies and frameworks for data analysis and modeling.
- Establish monitoring mechanisms to track project performance, identify areas for improvement, and report progress to stakeholders.
- Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products
Innovation and Research
- Stay abreast of the latest developments and trends in AI and data science, exploring innovative solutions and emerging technologies that can benefit the organization.
- Regularly evaluate the performance of AI projects and data science initiatives and provide detailed reports to senior management.
- Use data-driven insights to propose improvements and optimizations to existing processes
Data Privacy
- Ensure compliance with data privacy regulations and ethical guidelines throughout all data science activities.
- Implement data protection measures and maintain confidentiality of sensitive information.
- Identify potential risks and challenges associated with AI projects and data science initiatives
Requirements
- Bachelor’s or Master’s Degree in Computer Sciences / Data Science/ AI
- Strong background in machine learning, statistical analysis, and data visualization
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