Drive innovation with Kinaxis as a Machine Learning & Operations Research Engineer. This role involves enhancing supply chain solutions through mathematical modeling and robust software development in a hybrid work model.
You will be instrumental in building and refining the infrastructure that allows machine learning models to excel in real-world applications. This position requires collaborating with cross-functional teams and applying your expertise in C++ and Python to create optimized operational frameworks.

Your work will make a significant impact on how our clients manage their supply chains efficiently.

Key Responsibilities:
Design and implement cutting-edge optimization algorithms
Translate supply chain issues into effective models
Develop, test,



and monitor ML solutions for quality assurance
Collaborate closely with agile teams for software integration
Maintain robust performance of distributed systems

Requirements:
Advanced degree (MSc or PhD) in a related discipline
At least 3 years of experience in software engineering
Robust background in C++ and Python frameworks
Knowledge of commercial optimization tools
Familiar with cloud or containerized environments for ML

Join Kinaxis and leverage your expertise to revolutionize supply chain management.
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📌 Kinaxis Machine Learning & Operations Research Engineer London (Canada)
🏢 Kinaxis
📍 Canada