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Aug 6th 2021
News
Now Hiring: Machine Learning Scientist - Intern
Be a part of the team of research and ML scientists and get mentored by some of the best minds in AI. Join us as a Machine Learning Scientist - Intern.
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Jul 30th 2021
News
Now Hiring: Associate Machine Learning Scientist - Advanced Technology
Want to be part of a team solving one of the most unique real-world challenges in using Computer Vision?
Are you driven to navigate complex problems and find the right solutions? Join us as an Associate Machine Learning Scientist.
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Jul 26th 2021
News
Now Hiring: Lead Machine Learning - Advanced Technology Scientist
“Are you passionate about solving real-world problems with advances in machine learning?
Do you like working in the intersection of ML and driving its application to various domains? Apply to be a Lead Machine Learning Scientist at Amii.
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Jun 30th 2021
News
Now Hiring: Associate Machine Learning Scientist (Edmonton)
Join our team! We’re looking for an Associate Machine Learning Scientist to direct the research and development efforts of Amii Industry Partners and Clients.
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Mar 19th 2021
Case Study
Green Drop explores use cases through Amii’s AIPI
Read about how Amii helped residential service company Green Drop develop AI knowledge and explore ideas for their first AI project.
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May 5th 2020
Research Post
A multi-component framework for the analysis and design of explainable artificial intelligence
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Jan 14th 2020
News
ML Process Lifecycle – Part 3: Project Expectations vs Reality
Part three in the series on the ML Process Lifecycle (MLPL), a process framework adapted by the Amii team to describe the timing of ML project work to employers or clients.
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Nov 26th 2019
News
ML Process Lifecycle – Part 2: An In-Depth Look
Part two in the series on the ML Process Lifecycle (MLPL), a process framework adapted by the Amii team to describe the timing of ML project work to employers or clients.
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Nov 6th 2019
News
ML Process Lifecycle – Part 1: What It Is and Why We Need It
Part one in the series on the ML Process Lifecycle (MLPL), a process framework adapted by the Amii team to describe the timing of ML project work to employers or clients.
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