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University of Toronto Faculty of Information Sessional Lecturer Summer Term 2026 – Session Y (May – August) INF2179H – Machine Learning with Applications in Python Course Description: Machine
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. • Conducting novel, publishable research related to machine learning, deep learning, reinforcement learning, and planning. • Development and maintenance of Python software and packages. • Drafting
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mathematical analysis, numerical exercises using Python, and participatory demonstrations of mechanical systems. Number of Positions: 1 Estimated course enrolment: 92 students Estimated TA support: TBA hours
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 hours ago
, including data manipulation, descriptive analytics, basic statistical analysis, and data visualization. Experience using common analytics tools and programming environments such as Python, R, Excel, SQL
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-stack software development, particularly in scientific or high-tech environments with significant research and development. Proficiency in Python and their scientific packages (e.g. NumPy, SciPy, Pandas
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proficiency in Python, APIs,and common AI/ML frameworks such as PyTorch, TensorFlow, HuggingFace, and LangChain. Experience supporting cloud-agnostic AI/ML platforms (training, deployment, MLOps) leveraging
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
/Unit), databases (SQL Server, MySQL), and virtualized environments. Experience with scripting (Python, Bash) to automate security tasks. Extensive experience Leveraging network and security analysis
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, HTML, CSS & XHTML, Java, Python and Visual Basic, PERL, VBScript, JavaScript, Unix Shell Scripts, and Windows PowerShell), web server technologies (e.g. Apache, WebLogic) and database applications (e.g
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statistical analysis. Familiarity with Agile/Scrum, version control (Git, Azure DevOps), and BI testing frameworks. Experience with Power BI REST API, PowerShell, or Python to automate deployment, metadata
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(e.g., SolidWorks, AutoCAD) and printer operation. Proficiency in coding languages such as MATLAB, Python, or C/C++, with the ability to develop custom scripts and algorithms for data analysis and