Software Developer, Machine Learning

at  Kinaxis

ABOUT KINAXIS

Kinaxis is the global leader in modern supply chain management. We serve supply chains and the people who manage them in service of humanity. Our software is trusted by renowned global brands to provide the agility and predictability needed to navigate today’s volatility and disruption. We combine our patented concurrency technique with a human-centered approach to AI to empower businesses of all sizes to orchestrate their end-to-end supply chain network, from multi-year strategic planning through down-to-the-second execution and last-mile delivery. For more news and information, please visit kinaxis.com or follow us on LinkedIn.

All aspects of the machine learning development life cycle are familiar to you. You are passionate about shipping large-scale software systems in a fast-paced environment but are able to balance longer term issues such as maintainability, scalability and quality. You have worked with machine learning and data analysis libraries but realize building a machine learning system is much more than just calling a few APIs. You have a strong interest in troubleshooting, debugging problems, integrating software end to end, building and setting up new development tools and infrastructure, excited about finding ways to automate and improve development and release processes while mentoring other developers.
You’re fluent in Python object-oriented development and in the cloud. In addition to working with modern data storage, familiarity with Kubernetes, docker and have hands-on experience with big data technologies. 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. As well as comfortable talking requirements with product managers. You work well in a cross-functional team and can listen and contribute to discussions. Ideally provide readily available solutions while considering technical aspects, effort, and risk. Your primary focus is shipping large-scale machine learning software that drives customer value by building robust, scalable and data-intensive systems.