About This Opportunity: Architect, Machine Learning (Quebec)
Kinaxis is currently seeking a Architect, Machine Learning (Quebec) to join their team in Quebec.
This position offers an excellent opportunity for motivated individuals looking to advance their career.
Education Requirements
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No specific education requirements
Required Experience
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class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.
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Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI‑infused platform provides full transparency and visibility across end‑to‑end supply chains, enabling our customers to make faster, better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today’s volatility and disruption.
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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
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Ottawa and Toronto, CA – Hybrid.
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Other
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Canadian locations – Remote. The AI Team The AI team is responsible for advancing machine learning solutions in the supply and demand space across industries such as Retail, Consumer Packaged Goods, and Life Sciences. Our work spans forecasting, optimization, replenishment, recommendation, explainability, and emerging AI techniques that help customers solve complex, real‑world planning challenges.
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What makes this team unique is that we operate at the intersection of applied research, product innovation, and customer impact. We explore new methods, develop novel approaches, and turn them into practical capabilities that can shape the future of the Kinaxis platform.
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Machine Learning
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Architect
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Kinaxis is seeking a Machine Learning Architect to help define and advance our next generation of AI‑driven capabilities. As part of the Product R&D; organization, you will play a senior technical leadership role in applied AI, helping identify promising techniques, develop differentiated approaches, and shape how current ideas evolve into product capabilities. What you will do
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You bring deep expertise in machine learning and applied AI, and you are energized by turning emerging techniques into practical solutions for real customer problems. You are comfortable working through ambiguity, exploring new approaches, and building early systems that demonstrate clear value. You bring broad technical leadership across teams while remaining hands‑on in applied research and innovation.
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You stay closely attuned to the rapidly evolving AI landscape, actively exploring and experimenting with emerging techniques, tools, and approaches to identify where they can create real product value. You have a knack for spotting high‑leverage opportunities, cutting through complexity, and turning novel ideas into practical advances. You guide major technical decisions, identify opportunities for differentiation, and help translate new ideas into future product capabilities.
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You will work closely with product and engineering teams to ensure ideas are grounded in real‑world constraints and can evolve into enterprise‑grade software. You balance innovation with pragmatism and bring a strong focus on customer impact. You will also mentor others across the organization and help foster a culture of rigorous, practical innovation.
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What we are looking for PhD in Computer Science, Machine Learning, Artificial Intelligence, Operations Research, or a related field. Extensive experience applying machine learning to solve complex real‑world problems, with a track record of developing novel approaches or adapting emerging techniques in practical settings. Strong hands‑on experience building prototypes, proof‑of‑concepts, and early systems that demonstrate the value of new ML and AI methods.
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Deep expertise in modern AI techniques, with robust familiarity in areas such as agentic systems, LLMs, RAG, recommendation, optimization, explainability, and broader language‑based AI techniques. Strong technical judgment and the ability to assess new technologies critically, separating durable opportunities from short‑term hype. Demonstrated ability to influence technical direction across teams through expertise, credibility, and collaboration.
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Strong programming ability in Python and experience working with modern ML and data tooling.
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Experience partnering closely with engineering and product teams to move promising ideas toward scalable p
Position DetailsKey Responsibilities
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Effectively perform assigned job duties
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Maintain safety and cleanliness in the workplace
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Work effectively with team members
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Follow company policies and procedures
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Perform tasks according to quality standards
Qualifications
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Reliability and punctuality
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Ability to work independently and in a team
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Strong work ethic and positive attitude
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Ability to follow instructions
Why Join Kinaxis?Kinaxis offers a supportive work environment in Quebec, where employees can grow and develop their skills. This Architect, Machine Learning (Quebec) position provides the opportunity to work with a dedicated team and contribute to meaningful work.
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