Kinaxis
jobsincanada.one
At Kinaxis, who we’re is grounded in our frequent perception that folks matter. Every one in every of us performs an necessary half in engaging in our work, constructing our tradition and making a world influence.
Day-after-day, we’re empowered to work collectively to assist our prospects make quick, assured planning choices. That is how we create a greater planet – for one another, for our prospects and for generations to return. Our cloud-based platform RapidResponse ensures that the merchandise we want – the whole lot from drugs and vehicles, to day-to-day gadgets like toothpaste – make it to market and into our palms after we want them with minimal ecological footprint.
We make the world higher, and you’ll too.
Co-Op/Intern Machine Studying Developer, ML Options
Job location: our workplace in Toronto, Canada
Time period size: 8 or 12 months beginning January 2024
In regards to the Group
We intently work with the information science and ML-as-a-Service Platform groups to design, implement and scale excessive performing huge information AI options to demand forecasting and provide chain issues in retail.
We sort out all elements of the ML lifecycle, construct instruments to automate it and libraries to scale it. We’re extremely expert engineers who usually are not afraid to sort out onerous ML issues in forecasting and optimization and creator full ML options to ship scalable huge information merchandise.
What you’ll do
- Assist develop scalable ML options out of the authorised shopper prototypes through our ML libraries
- Take part in scrum groups creating ML merchandise for demand sensing in several business verticals
- Might carry out different duties as assigned
What we’re in search of
- Wonderful software program engineering expertise
- Good understanding of machine studying algorithms, information buildings, pipelines and transformations
- Proficiency in Python and object-oriented programming
- Able to processing information with pandas and PySpark (e.g. querying, remodeling, becoming a member of, cleansing, and so on.), with some expertise in numpy and sklearn
- Means to work in Linux environments and public clouds with containerization applied sciences like Docker
Issues that Would Undoubtedly Assist
- Machine studying Ops within the cloud with containerization (e.g. Kubernetes, Argo, Workflows)
- Familiarity with retail and CPG enterprise area
- Expertise constructing information science merchandise
What we now have to supply
- Difficult Work – We love fixing extremely complicated issues. And because the world leaders in our business, we by no means cease innovating—our work isn’t “finished. That’s as a result of throughout our groups and in all roles, each worker is empowered to deliver their greatest concepts ahead and to leap in and resolve the issues they’re captivated with.
- Nice Folks – We take our work severely, however we don’t take ourselves too severely! It’s in our DNA to rejoice, chortle, and have enjoyable. We’re stronger, collectively, after we are open, trustworthy, and above all, actual. Each particular person is valued right here and performs an necessary function in our shared success.
- International Affect – As a world staff spanning continents, boundaries, and cultures, on daily basis we’re impressed by the influence our work has on our colleagues, our prospects, our communities, and the world at giant.
- Range, Fairness and Inclusion – Range, fairness and inclusion are greater than phrases to us. They’re the guiding ideas for constructing a tradition the place we rejoice every others’ variations, repeatedly attempt for equality and acknowledge that inclusion makes us stronger as people, an organization and a world citizen.
For extra data, go to the Kinaxis website at www.kinaxis.com or the corporate’s weblog at http://weblog.kinaxis.com/.
Kinaxis strongly encourages various candidates to use to our welcoming group. We try to make our web site and utility course of accessible to any and all customers. If you want to contact us relating to the accessibility of our web site or want help finishing the applying course of, please contact us at [email protected]. This contact data is for accessibility requests solely and can’t be used to inquire in regards to the standing of purposes.
Apply now
sturdy class=”helpus”>To assist us monitor our recruitment effort, please point out in your cowl/motivation letter the place (jobsincanada.one) you noticed this job posting.