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Machine Learning Developer
2 months ago
We are a leading provider of applied AI solutions for the public sector, dedicated to transforming the way governments think about AI. Our teams are structured around projects, guided by experienced professionals, to deliver working models that support informed decision-making.
Job RoleAs an Associate Machine Learning Developer, you will have the opportunity to work on public sector ML projects, delivering real solutions to our partners. You will be part of a dynamic team, working on specific use cases identified by our partners, and will gain hands-on experience with multiple tools and AI/ML algorithms.
Responsibilities- Participate in team planning sessions and educational presentations
- Review data to understand its scope and structure
- Identify the right metrics to measure model success
- Work in teams to pre-process data for analysis and model development
- Uncover trends, insights, and key features to guide ML solution application
- Develop models around available data and suggested problems
- Suggest and explore novel solutions to problems and detailed recommendations for model integration
- Communicate and present team work to AltaML and partners
- Familiarize yourself with data processing tools and AI/ML algorithms
- Independently research and connect with your cohort to gain domain knowledge and learn state-of-the-art techniques
- Currently enrolled in a post-secondary degree program at a participating university
- General knowledge of and experience developing in Python and data science libraries/packages
- Understanding of Machine Learning and software development concepts
- Ability 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
AltaML is an equal opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.
