Co-op/Intern Developer, AI Solutions

About Kinaxis 

In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, with a brand-new HQ based in Kanata North in Ottawa. As one of Canada’s Top Employers for Young People (2024), we want to help you take the first step in crafting your career journey.

At Kinaxis, we power the world’s supply chains to help preserve the planet’s resources and enrich the human experience. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries, with more than 40,000 users in over 100 countries. We are expanding our team as we continue to innovate and revolutionize how we support our customers.

Location 

If in Ottawa, you must be in the office at least three days a week. Other Canadian Locations - Remote 

About the team 

Kinaxis is looking for a talented candidate to work within the Machine Learning R&D team. The team is responsible for applying machine learning algorithms to develop intelligent supply chains. The uniqueness of the team is that it performs at the intersection of technology and real business problems. You will contribute to the product that delights customers world-wide! 

This is a full-time 12-month position, starting September, 2025.

To be eligible for a Co-op or Intern position at Kinaxis, you must either be currently enrolled in full-time education or, if you are a recent/upcoming graduate, your graduation date must be within 12 months of the placement end date.

What you will do

• As an intern ML developer, you are passionate about shipping large-scale software systems in a fast-paced environment but can balance longer term issues such as maintainability, scalability and quality. You will be treated like a full-time developer and get to work on everything from tech selection to production code on our latest projects.
• You have a strong interest in developing & integrating ML software end to end, troubleshooting, debugging problems, building and setting up new development tools and infrastructure, excited about finding ways to automate and improve development and release processes.
• You have a passion for software reliability and know how to ensure user needs are met through cross-functional stakeholder understanding and engagement. You enjoy understanding both the details of the use cases that end-users are performing using the solution as well as the architecture and implementation of the system end to end.
• You have a strong interest in resolving issues as well as designing effective methods for troubleshooting, preventing, and debugging problems in ML software systems, getting to the root cause of issues, meeting the users’ needs and influencing the product development roadmap. You are excited about finding ways to develop product capabilities and tools that increase robustness of the user experience, reduce the cost of troubleshooting, or reduce the time required to address issues.
• You’re fluent in Python & SQL, have experience working with distributed computing, cloud technologies, big data frameworks and are very knowledgeable about Kubernetes and Docker. You also have experience working with and building Machine Learning pipelines and models. You have the ability and enthusiasm to learn new technologies whether they are infrastructure or language or platform, and easily adapt to change.

What we are looking for

• You are working towards a BS or MS in Computer Science/Software Engineering or related field.
• You have strong software engineering skills and strong programming skills in Python/Pandas/ML Libs.
• You have strong customer orientation and understand the system end-user perspective while integrating ML software for Production Systems.
• Understanding of the ML / Modelling process, Feature Generation, Training, Hyper-parameter tuning, predictions (scoring).
• Experience with the use of Docker and Kubernetes at scale.
• Proficiency in SQL – advanced, window functions, aggregate functions, joins, etc.
• You have working experience with Azure/GCP cloud.
• You have a proven understanding of distributed computing architectures.
• Experience in Kubernetes ecosystem like Helm and Argo workflow, CI/CD.
• Experience with Machine Learning Solutions and productization.
• You easily articulate complex concepts in writing and speech.
• You enjoy solving puzzles and troubleshooting issues.
• You enjoy multi-tasking and providing significant positive impact to the business through your work.

Things that would help

• ETL, EDA, manipulating large datasets in spark & pandas dataframes and building data pipelines.
• Experience with data modelling, data streaming, data transformation and modern data stores.
• Supply chain domain knowledge - Supply Chain Management, especially demand planning, Retail, Manufacturing etc.
• Knowledge of how drivers influence demand, e.g., pricing, promotions, initiatives, external factors like weather patterns etc.

We’re accepting applications now through end of day on Friday, June 27, 2025. Please note that we may begin reviewing applications before the posting closes, so early submission is encouraged. 

#Coop, #Internship, #Intern, #LI-EN1

Work With Impact: Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day—when we see store shelves stocked, when medications are available for our loved ones, and so much more. 

Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Ford, Unilever, Yamaha, P&G, Lockheed-Martin, and more. 

Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to net-zero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and these are some of the perks and benefits we created for our team:

• Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month)
• Flexible work options
• Physical and mental well-being programs
• Regularly scheduled virtual fitness classes
• Mentorship programs and training and career development
• Recognition programs and referral rewards
• Hackathons

For more information, visit the Kinaxis web site at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com.

Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at [email protected]. Please note that this contact information is strictly for accessibility requests and cannot be used to inquire about application statuses.

Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description, to identify candidates whose education, experience and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.