About Kinaxis  

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

our office in Ottawa, Canada 

About the team

Join a full-stack AI/ML team at Kinaxis that delivers complete functionality from the platform to the solution, which functions in the supply and demand space for verticals such as Retail, Consumer Packaged Goods, Life Sciences, and others. This includes problems in the space of forecasting, optimization, replenishment, recommendation, explainability, and more. Our solutions delight customers worldwide.

What you will do

• You’ll contribute across the full development lifecycle, from idea to deployment and beyond. Whether it’s building intelligent forecasting systems, optimizing global replenishment models, or integrating explainable AI into user-facing workflows, you’ll solve critical problems that touch millions of lives.
• This isn’t just about calling ML APIs. It’s about building AI products end-to-end, at scale, with all the real-world messiness and architectural complexity that entails.
• Own complex AI features from design to delivery, collaborating across product, data science, and engineering teams.
• Build scalable ML pipelines that operate on massive, fast-moving data streams.
• Implement and optimize models for forecasting, classification, recommendation, NLP, and decision optimization.
• Contribute to architectural decisions, from microservice design to orchestration in Kubernetes.
• Drive code quality through code reviews, unit tests, and CI/CD practices—you’re a quality champion, notjust a code generator.
• Set up new development tools and infrastructure (Docker, Kubernetes, cloud services) to streamline processes.
• Mentor and learn alongside passionate teammates in a high-trust, high-impact environment.
• Stay current with best practices in AI/ML and software architecture—and help shape what “great” lookslike at Kinaxis.
• Log and eliminate complex or subtle bugs in the product to ensure we deliver a great quality product.

What we are looking for

• Master's or PhD in Computer Science or related field, with a focus in artificial intelligence, machine learning, or a related specialization.
• 5+ years in AI/ML enterprise software development; experience leading complex, high-impact features.
• Solid Python development (OOP, design patterns, data structures), including debugging and performance optimization.
• Deep understanding of algorithms and data structures related to ML pipelines and large-scale data processing.
• Proven ability to train, fine-tune, evaluate, and deploy ML models—understanding the full ML lifecycle.
• Experience with machine learning algorithms for forecasting, clustering, classification, recommendation systems, NLP, and others.
• Hands-on expertise with popular ML frameworks (PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM) and data manipulation libraries (Pandas, SQL).
• Familiarity with containerization (Docker) and orchestration (Kubernetes) in *nix environments.
• Experience with continuous integration, continuous delivery, continuous deployment and other modern DevOps practices.
• Solid grasp of software engineering best practices including testing, version control, observability.
• Experience working with major cloud technologies (AWS, Azure, or GCP)
• Ability to plan and drive features from requirements gathering, through design, implementation and to release and maintenance.
• Working knowledge of software testing. Familiar with and able to compare the values and uses of several testing frameworks and methodologies.
• Proven analytical, problem-solving, and communication skills to explain complex concepts clearly.
• Leadership & Mentoring: Provide guidance on best practices to junior developers and help shape team culture.
• Collaboration: Participate in cross-team discussions, offering informed opinions and bridging gaps between product and engineering.
• Communication: Articulate complex technical topics for diverse audiences; give and receive constructive feedback.
• Adaptability: Thrive in a fast-paced environment, open to evolving technologies, and embrace continuous learning.

Nice to have

• Experience with workflows (e.g. Argo workflows)
• Supply chain domain knowledge
• Retail and CPG business domain knowledge
• SaaS, multi-tenant and AI/ML platforms development experience (microservice frameworks, queuing systems, event-based processing and web services).
• Experience of distributed computing architectures (e.g Spark, Hive)

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

Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at recruitmentprograms@kinaxis.com. Please note that this contact information is strictly for accessibility requests and cannot be used to inquire about application statuses.

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.