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May 9, 2024

About the The GovLab.ai

We transform the way you think about applied AI.  Teams are structured around projects for the public sector, guided by the Project Delivery Manager, Product Owner, and Senior machine learning developers, to provide working models to support informed strategic decision-making around the use of key AI technologies in the public sector.

This would be a 4 month paid contract starting September 2024 and ending in December 2024. The deadline for submitting your application is May 24th, 2024. Assessments and interviews for this cohort group will be held in the months of May/June 2024, so please keep an eye out on your inbox for further information around that time frame. Additionally, this opportunity may also be extended to an 8 or 12-month term; please indicate in your application if these options are of interest to you.

Job Role

As an Associate Machine Learning Developer, you will have a chance to work on public sector ML projects and deliver real solutions to our Public Sector Partners including Service Alberta, other departments, and even other levels of government.  GovLab AI's mission is to set a global example of how to transform the public sector through applied AI, and is designed to encourage the growth of machine learning and AI skill sets that are in high demand across Alberta and around the world.  

Our program experience is unique and designed to give you hands on experience to prepare you for professional success. During the 4 month period you will be placed on a team to work on specific use case(s) identified by our Public Sector Partners. You will work with multiple tools and gain experience in multiple AI/ML and data processing fields. You will also be given resources and mentorship to help with your growth and career advancement. The teams will be led by the Project Delivery Manager utilizing AltaML methodology to create working models for the viable use case(s), and help guide the teams to make recommendations on how best to implement the solution with our Partners.

Our ultimate goal is to set you up for success and have you hired in the future after your internship!

Office as a Resource & Participating Universities: This opportunity is currently open to anyone that is currently enrolled at the U of Alberta, U of Calgary (Masters Only), Mount Royal U, U Waterloo, U of Toronto, Queens U. As this is a Mitacs funded opportunity, please reach out if you have questions regarding your eligibility. While we have offices in Edmonton, Calgary, Toronto, and Waterloo we use our offices as a resource.

Application Process:

Step 1: Apply

Step 2: You will be notified prior to the application deadline if you are moving to the next stage (via email correspondence)

Step 3: Online technical assessment (48 hour timed assessment) which will be sent on May 24th, 2024

Step 4: 30 minute panel interview during the first and second week of June

Step 5: Background checks and offer!

Step 6: Welcome to GovLab!

APPLICATION DEADLINE: May 24, 2024 at 12:00 pm MST

What You'll Do:

  • 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
  • You will work with multiple tools and gain experience in multiple AI/ML and data processing fields. You will be given resources and mentorship to help with your growth and career advancement.

What You Bring:

  • Minimum Requirements:
  • Currently enrolled in a Post secondary degree program at U of Alberta, U of Calgary (Masters Only), U Waterloo, or U of Toronto
  • 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
  • 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

First Nations Acknowledgment

As this role is an opportunity based in Edmonton, Alberta - AltaML would like to acknowledge that we are on the traditional lands, referred to as Treaty 6 Territory and that the City of Edmonton and all the people here are beneficiaries of this peace and friendship treaty. Treaty 6 encompasses the traditional territories of numerous western Canadian First Nations, including Cree, Dene (DEN–Ē), Stoney Nakota Sioux, Saulteaux (SO-TO), and Ojibwe (OJIB-WĒ). AltaML is dedicated to ensuring that the spirit of Treaty 6 is honoured and respected.

Equal Opportunities

AltaML is an equal opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.

Explore our company:


AltaML partners with organizations to build transformative applications using applied AI/ML, aiming to unlock new levels of efficiency, productivity, and innovation.
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