Senior Machine Learning Engineer, AI Solutions System Support

About Kinaxis  

Location Ottawa, Ontario, CA - Hybrid; 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!

What you will do

• As a machine learning engineer, 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 are an experienced software engineer who is passionate about delivering software that supports and facilitates business operations of AI solutions. You have a strong understanding of Cloud technologies and Cloud agnostic software architecture and have experience troubleshooting high scale solutions that are deployed and upgraded on a regular cadence.
• 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 are fluent in Python, have experience working with distributed computing, 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 work well in a cross-functional team and can listen and contribute to discussions. Your primary focus is investigating issues that arise as part of the development of robust, scalable, and data-intensive Machine Learning software systems that drive business critical customer value.

What we are looking for

• BS or MS in Computer Science/Software Engineering or equivalent work experience.
• Experience with support of AI/ML Solutions in Production Systems.
• Experience developing end to end expertise of a complex system using multiple technologies.
• You have strong customer orientation and understand the system end-user perspective.
• You enjoy solving puzzles and troubleshooting issues.
• You enjoy multi-tasking and providing significant positive impact to the business through your work.
• You have strong software engineering skills and strong programming skills in Python/Pandas/ML Libs.
• 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.

#Intermediate

#LI-IS1

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 Lockheed Martin, Yamaha, P&G, Honda, 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.