Kinaxis is hiring a

MLOps Development Manager, AI Solutions

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.

MLOps Development Manager, AI Solutions

Job location: This position is based in Ottawa, CA.

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 the development manager of a team of machine learning engineers, 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 designing and developing 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 implementing 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 are knowledgeable about best practices to manage the integration of 3rd party software, to optimize Cloud costs and you can manage multiple infrastructure environments in parallel.

You have a strong interest in designing effective methods for troubleshooting, preventing, and debugging problems in Production systems, integrating software end to end, building and setting up new development tools and infrastructure. You are excited about finding ways to automate and improve development and release processes

You 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 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/Software Engineering or equivalent work experience.
• Experience with delivery and support of AI/ML Solutions in Production Systems
• Strong software engineering skills, troubleshooting, integration, deployment, and upgrade skills.
• You have working experience with Kubernetes, Docker, and big data frameworks.
• You have a proven understanding of distributed computing architectures.
• You have working experience with training of large-scale of Machine Learning models and building data pipelines.
• You easily articulate complex concepts in writing and speech.
• 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

Nice to have

• You have experience with data modelling, data streaming, data transformation, modern data stores and strong programming skills in Python/Pandas/ML Libs.

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 [email protected]. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.

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