Co-op/Intern Developer, AI Solutions

Montreal, QC🕖 3 months ago

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 12- month position, starting September 2024.

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 have a strong interest in 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 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, 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. You are a team player, a quick starter and a problem solver. You are comfortable talking requirements with product managers. You work well in a cross-functional team and can listen and contribute to discussions. You can ideally provide readily available solutions while considering technical aspects, effort, and risk. Your primary focus on the development team is integrating large-scale, robust, scalable and data-intensive machine learning software that drives business critical customer value.

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. Experience with the use of Kubernetes at scale. You have working experience with Docker, and big data frameworks. You have a proven understanding of distributed computing architectures. You easily articulate complex concepts in writing and speech. Experience in Kubernetes ecosystem like Helm and Argo workflow, CI/CD. Experience with Machine Learning Solutions and productization. You enjoy solving puzzles and troubleshooting issues. You enjoy multi-tasking and providing significant positive impact to the business through your work.

Nice to have

Experience with training of large-scale Machine Learning models and building data pipelines. Experience building and deploying large-scale Machine Learning systems. Experience with data modelling, data streaming, data transformation and modern data stores.

We’re accepting applications now through September 4, 2024. All submissions will be reviewed during this time, as well as after the posting closes.

#Coop, #Internship, #Intern

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 strongly encourages diverse candidates to apply to our welcoming community. We strive to make our website and application process accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at recruitmentprograms@kinaxis.com . This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.

Key Skills

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