Associate Software Developer at AltaML working on intelligent systems and collaborating with teams. Ideal for those eager to deepen software development skills in an innovative environment.
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
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.
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
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
🌴Uncapped Vacation - For all full time, permanent employees. Seriously, take the time you need - when you need it.
🚀Make an Impact - Witness the impact your work contribution has on the success of our company.
👩🏿💻Working with PhD and Master Level Colleagues - Endless conversations around the latest in Machine Learning and Applied AI.
🩺Competitive Benefits - For all full time, permanent employees.
🏢 Office as a Resource - Hybrid work environment with state-of-the-art office spaces that ignite collaboration.
Director of MLOps at Manulife leading AI deployments and scalable solutions in Canada. Architecting MLOps capabilities to ensure governance and reusable AI solutions across segments.
Senior ML Scientist at Ada specializing in AI - driven customer support features. Collaborating with PMs, Engineers, and Designers to enhance product outcomes.
Senior Machine Learning Engineer designing and deploying AI frameworks to enhance Dropbox's collaboration tools. Leading complex ML systems from design to production.
Senior AI/ML Engineer leading development of LLM - based systems and NLP pipelines remotely. Collaborating with founders and shaping technical direction in an ambiguity - friendly environment.
AI/ML Engineer developing, optimizing, and scaling machine learning models for US Mobile’s next - gen user experiences. Collaborating with teams to enhance connectivity through innovative solutions.
Creating scalable machine learning solutions and contributing to best practices as a Senior Engineer at Thomson Reuters. Collaborating with cross - functional teams for impactful project implementation.
Co - op Machine Learning Software Engineer working on machine learning solutions at RBC Borealis. Joining a team focused on data, collaboration, and solving challenging problems in AI and technology.
Machine Learning Engineer II at Wave contributing to design and deployment of AI/ML models. Building robust machine learning pipelines supporting analytics and business intelligence.