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
• Solid 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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