Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Kinaxis

Co-op/Intern Developer, Machine Learning

Kinaxis

. Work as a full-time developer on the ML team, from technology selection through production code .

Posted 10/23/2026internshipCanadaEntry Level💰 CA$27 - CA$40 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates proficiency in Python programming and experience with Machine Learning applications, while actively participating in agile development processes and collaborating with cross-functional teams to deliver scalable and secure AI solutions.

Highest-signal resume keywords
Python ProgrammingMachine Learning ExperienceAgile DevelopmentDockerKubernetes

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
PythonMachine LearningOptimizationStatistical Inference
Soft Skills
CuriosityCollaboration
Tools & Technologies
DockerKubernetesAzureGitHub Actions
Industry Keywords
Microservice ArchitectureAI PlatformContinuous Improvement

Tech Stack

Tools & technologies
AzureDockerKubernetesPython

About the role

Key responsibilities & impact
  • Work as a full-time developer on the ML team, from technology selection through production code
  • Develop new product ideas, demos for executives, and patent applications
  • Write Python code for microservice architectures
  • Contribute to continuous improvement of the AI platform, ensuring scalability and security
  • Participate in agile processes including sprint planning, huddles, pair programming, and retrospectives
  • Collaborate with cross-functional teams to deliver high-quality solutions
  • Work with a mentor and access required training

Requirements

What you’ll need
  • Currently enrolled in full-time education or a recent/upcoming graduate within 12 months of the placement end date
  • Completed 2+ years in a Computer Science or Engineering program
  • Some hands-on experience with Machine Learning through work terms, hackathons, competitions, or similar
  • Curiosity and passion for applying Machine Learning to solve real problems
  • Experience with optimization (linear programming, mixed integer problems, solvers) is an asset
  • Experience in statistical inference and related concepts is an asset
  • Python
  • Docker
  • Kubernetes
  • Azure
  • GitHub Actions

Benefits

Comp & perks
  • Flexible vacation and Kinaxis Days (company-wide days off)
  • Flexible work options
  • Physical and mental well-being programs
  • Regularly scheduled virtual fitness classes
  • Mentorship programs, training, and career development
  • Recognition programs and referral rewards
  • Hackathons
  • Accessibility accommodations throughout the recruitment process