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 applications
- Train models for path optimization problems
- Support production systems during fixed rotations
- Visit the production floor to understand processes
- Participate in the core SCRUM team

Requirements:

- Hands-on supervised and unsupervised machine learning experience
- Experience training, optimizing, and deploying production models
- Python experience for AI solutions
- Willingness to work four days in-office weekly
- Availability for weekly travel to Cambridge, Ontario

Apply machine learning, Python, and production deployment expertise to automotive manufacturing applications supporting reliability and operating-rate improvements.

📌 Machine Learning Software Engineer (Woodstock)
🏢 Procom
📍 Woodstock