Job Description

As an intern ML developer, you are passionate about shipping large-scale software systems in a fast-paced environment and 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.

About Kinaxis

Kinaxis is a global leader in end-to-end supply chain management, enabling supply chain excellence for all industries, with more than 40,000 users in over 100 countries.

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