Associate Machine Learning Developer responsible for delivering ML solutions to public sector partners. Gain hands-on experience for professional success during a 4-month internship period.
Responsibilities
Participate in team planning sessions and educational presentations
Review the data to understand its overall scope and structure
Identifying the right metric to measure the success of the model and project
Work in teams to pre-process the data for analysis and model development
Uncover trends, insights, and key features to help guide where ML solutions can be applied
Develop models around the available data and suggested set of problems
For viable use cases develop proof of concept working models
Suggest and explore novel solutions to a problem and detailed recommendations for how to integrate the models in business
Communicating and presenting your teams work to AltaML and Public Sector Partners
Get familiarity with various data processing tools and exposure to AI/ML algorithms
Independently researching and connecting with your cohort to gain domain knowledge and learn state-of-the-art techniques.
Requirements
Enrolled in a Post secondary degree program at U of Alberta, U of Calgary (Masters Only), U Waterloo, or U of Toronto for the duration of the internship term
General knowledge of and experience developing in Python and data science libraries/packages such as pandas, scikit-learn, matplotlib
Understanding of Machine Learning and software development concepts
Must be able to work 40 hours per week during the internship
Must have a valid citizenship and/or work permit that legally allows you to work full-time during the internship term.
Nice to have:
Exposure to version control/Git
Experience with a cloud platform such as Azure, AWS or GCP
Ability to work independently and within a team environment
Well-developed communication skills, with the ability to engage in client meetings and deliver professional presentations.
Benefits
This opportunity is funded in partnership with Mitacs.
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