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Co-op/Intern Developer, Machine Learning

Kinaxis
Ottawa, CAN
Internship
Intern
Hybrid
CAD 27.04–CAD 39.66 per hour
Discovered Yesterday
Machine learningPythonMicroservice architecturesDockerKubernetesAzure

Full Job Posting

About the placement

Join the Machine Learning development team building supply-chain planning solutions for Maestro users.

The placement provides hands-on machine-learning software development experience, including components needed to deploy software into production.

This is a full-time, four- or eight-month position starting January 2027; extensions may be possible after the internship begins.

Location and work arrangement

  • Candidates in Ottawa or Toronto must work in the office at least three days a week.
  • Candidates in other Canadian locations may work remotely.

Eligibility and qualifications

  • The role is open to co-op students and interns currently enrolled in full-time education or recent/upcoming graduates within 12 months of the placement end date.
  • Candidates must have completed at least two years of a Computer Science or Engineering program.
  • Hands-on machine-learning experience through work terms, hackathons, competitions, or similar experience is required.
  • Optimization experience, including linear programming, mixed-integer problems, or solvers, is an asset.
  • Statistical inference experience is an asset.

What you will do

  • Work on projects from technology selection through production code, with mentoring and support.
  • Write Python code for microservice architectures.
  • Contribute to improving the AI platform's scalability and security.
  • Participate in sprint planning, huddles, pair programming, retrospectives, and cross-functional delivery.
  • Projects may include product ideas, executive demonstrations, and patent applications.

Technologies

  • Technologies include Python, Docker, Kubernetes, Azure, and GitHub Actions.

Compensation

  • The compensation range is CAD 27.04–CAD 39.66 per hour.

Benefits and development

  • Offerings may include flexible vacation, company-wide days off, flexible work options, well-being programs, mentorship, training, career development, recognition programs, referral rewards, and hackathons.

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