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 innovative 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 • Strong 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. #J-18808-Ljbffr
Kinaxis Machine Learning & Operations Research Engineer • Quebec, Capitale-Nationale, Canada
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