Job Type
Job Details
Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it’s really our people who give us passion to always seek ways to do things better. As such, we’re serious about your career growth and professional development, because People matter at 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, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.
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
Toronto, Canada (Hybrid)
About the teamThe AI team is responsible for delivering machine learning solutions in the supply and demand
space for verticals such as Retail, Consumer Packaged Goods, Life Sciences etc. This includes
problems in the space of forecasting, optimization, replenishment, recommendation,
explainability, and more. 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!
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.
What we are looking for
- Bachelor’s degree or equivalent in Computer Science or a related field with focus in
machine learning. - Strong software engineering skills with 1+ years’ experience in ML software
development. - Proficiency in Python, object-oriented paradigm and python design patterns.
- Strong understanding of machine learning algorithms and lifecycle, relational data, ML
pipelines and data structures with pandas, sklearn and SQL - Ability to work in *nix environments and in the cloud with containerization technologies
(Docker, Kubernetes). - Good skills and knowledge in distributed computing architectures.
- Disciplined approach to software testing including unit testing and Continuous
Integration. - Strong written and verbal communication skills.
Nice to have:
- Experience in Kubernetes ecosystem like Helm, Argo, Hera and Argo CD
- Retail and CPG business background.
- Experience in developing production grade enterprise software.
- Experience working with major cloud technologies (AWS, Azure, and GCP
#EntryLevel
#LI-DN1
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.
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.
