Sr. 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.

Sr. Machine Learning Engineer

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

About the team

The Machine Learning Development 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!

What you will do

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 a minimum of 5 years experience in ML enterprise software development.
  • Strong understanding of machine learning algorithms and relational data with experience writing, debugging and optimizing ML data structures, pipelines and transformations, with in Python/Pandas/SQL and various ML Libs.
  • Ability to work in *nix environments and in the cloud with containerization technologies (Docker, Kubernetes, Argo, Helm) and deploying software in the cloud.
  • Proven understanding and experience of distributed computing architectures.
  • Disciplined approach to software testing including unit and integration test as well as CI/CD.
  • Ability to drive projects to completion with minimal guidance
  • Strong written and verbal communication skills and can easily articulate complex concepts in writing and speech.

Nice to have

  • Retail business background with supply chain understanding.
  • SaaS, and multi-tenant platforms development experience (microservice frameworks, queuing systems, event-based processing and web services).
  • Experience working with major cloud technologies (AWS, Azure, and GCP)
  • Infrastructure-as-code in the cloud and on-prem.

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: APIs AWS Azure Big Data CI/CD Computer Science Data analysis Docker Engineering GCP Helm Kubernetes Machine Learning Pandas Pipelines Python SQL Testing

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

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