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669/670 (Text Analytics) and RETL 613, with responsibilities focused on both technical and instructional support. Duties will include assisting students with Python programming, data preparation, text
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data analysis, modelling, and computational workflows, where appropriate. Qualifications: Strong programming skills in R and/or Python. Ability to develop reproducible computational workflows and
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/AI systems Familiarity with modern MLOps practices and tools for experiment tracking, pipelines, model deployment, monitoring, and reproducibility Experience with relevant technologies such as Python
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/AI systems Familiarity with modern MLOps practices and tools for experiment tracking, pipelines, model deployment, monitoring, and reproducibility Experience with relevant technologies such as Python
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Familiarity with modern MLOps practices and tools for experiment tracking, pipelines, model deployment, monitoring, and reproducibility Experience with relevant technologies such as Python, Spark, Docker
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Familiarity with modern MLOps practices and tools for experiment tracking, pipelines, model deployment, monitoring, and reproducibility Experience with relevant technologies such as Python, Spark, Docker
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Skills and/or Abilities Able to work in a team. Capacity to navigate large code bases. Good time management skills. Programming: React, Kotlin. Python and R an asset. Web: HTML & CSS. Enrolled in the Work
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, SQL, Python, data engineering, and related technical domains. Prepare students for technical case interviews and business analytics problem-solving exercises. Coach students on online coding assessments
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of these fields is an asset. Experience : Demonstrated coding experience, including proven working knowledge of Python and R (both required). Demonstrated experience applying decision analytics
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Learning), COMP 345 (From Natural Language to Data Science), COMP 550 (Natural Language Processing). Advanced Statistics: Preferably graduate students in Statistics. Data Science in Python/R: Preferably