Machine Learning Engineer - Remote

Canada

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Kinaxis

Revolutionize supply chain management with Kinaxis. Get end-to-end transparency to make fast, collaborative decisions with the power of concurrency.

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At Kinaxis, who we are is grounded in our common belief that people matter. Each one of us plays an important part in accomplishing our work, building our culture and making a global impact.

Every day, we’re empowered to work together to help our customers make fast, confident planning decisions. This is how we create a better planet – for each other, for our customers and for generations to come. Our cloud-based platform RapidResponse ensures that the products we need – everything from medicine and cars, to day-to-day items like toothpaste – make it to market and into our hands when we need them with minimal ecological footprint.

We make the world better, and you can too.

Machine Learning Engineer

Job location: Our office is in (Ottawa) AND (Toronto), but, you can be Anywhere in Canada (REMOTE)

About the team

Kinaxis is looking for a talented candidate to work within the Machine Learning Development 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 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

You’re fluent in Python and worked with distributed computing, big data frameworks and are familiar with Kubernetes and docker. You also have some 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 are comfortable talking requirements with product managers. You work well in a cross-functional team and can listen and contribute to discussion. You can 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

  • BS or MS in Computer Science or equivalent work experience.
  • Strong software engineering skills, troubleshooting and integration skills.
  • You have working experience with Kubernetes, docker, distributed computing and big data frameworks.
  • You have a proven understanding of distributed computing architectures.
  • You have working experience with training Machine Learning models and building data pipelines.
  • You have experience with data modelling, data streaming, data transformation, modern data stores and strong programming skills in Python/Pandas/ML Libs.
  • You have a disciplined approach to writing unit and integration tests.
  • You easily articulate complex concepts in writing and speech.

Nice to have

  • Experience in Kubernetes ecosystem like Helm and Argo workflow, CI/CD
  • Experience building and deploying large-scale Machine Learning systems
  • Experience with Machine Learning Automation and productization
  • Experience with time-series forecasting

What we have to offer

  • Challenging Work - We love solving highly complex problems. And as the global leaders in our industry, we never stop innovating—our work is never “done. That’s because across our teams and in all roles, every employee is empowered to bring their best ideas forward and to jump in and solve the problems they’re passionate about.
  • Great People - We take our work seriously, but we don’t take ourselves too seriously! It’s in our DNA to celebrate, laugh, and have fun. We are stronger, together, when we are open, honest, and above all, real. Every person is valued here and plays an important role in our shared success.
  • Global Impact - As a global team spanning continents, boundaries, and cultures, every day we are inspired by the impact our work has on our colleagues, our customers, our communities, and the world at large.
  • Diversity, Equity and Inclusion - Diversity, equity and inclusion are more than words to us. They are the guiding principles for building a culture where we celebrate each others’ differences, continuously strive for equality and recognize that inclusion makes us stronger as individuals, a company and a global citizen. 

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 Human Resources at accommodations@kinaxis.com. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Big Data CI/CD Computer Science Data pipelines Docker Engineering Helm Kubernetes Machine Learning ML models Pandas Pipelines Python Streaming

Perks/benefits: Flex vacation

Region: North America
Country: Canada
Job stats:  20  2  0

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