Build machine learning software for automotive manufacturing with Python and production model deployment. Work hybrid in Woodstock, Ontario, with weekly Cambridge travel.As an ML software engineer consultant, you will develop applications through full software development cycles. Your work will use supervised and unsupervised machine learning to identify opportunities improving operating rate and machine reliability.
The project focuses on creating and training models for path optimization problems.Key Responsibilities: Create current products and features in applicationsTrain models for path optimization problemsSupport production systems during fixed rotationsVisit the production floor to understand processesParticipate in the core SCRUM teamRequirements: Hands-on supervised and unsupervised machine learning experienceExperience training, optimizing, and deploying production modelsPython experience for AI solutionsWillingness to work four days in-office weeklyAvailability for weekly travel to Cambridge, OntarioApply machine learning, Python, and production deployment expertise to automotive manufacturing applications supporting reliability and operating-rate improvements.