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What We Offer At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

Group Summary Cosma provides a comprehensive range of body, chassis and engineering solutions to global customers. Through our robust product engineering, outstanding tooling capabilities and diverse process expertise, we continue to bring lightweight and cutting-edge products to market.

Job Responsibilities Scope of Position

The Machine Learning Engineer is responsible for developing, implementing, and supporting machine learning and artificial intelligence solutions that improve manufacturing operations, product quality, equipment reliability, and operational efficiency. This position works closely with Manufacturing Engineering, Controls Engineering, Quality, Maintenance, IT, and Operations to identify opportunities where AI technologies can provide measurable business value.

The successful candidate will design, develop, validate, and deploy predictive analytics, computer vision, and machine learning applications supporting Deco Automotive’s Industry 4.0 strategy

Minimum Requirements

Bachelor’s Degree in Engineering, Computer Science, Data Science, Artificial Intelligence,



Software Engineering or related technical equivalent with 2-5 years working experience in the capacity of an Machine Learning Engineer

Experience developing production-ready machine learning models

Strong programming skills using Python

Experience with SQL databases and data analysis

Experience using machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn

Knowledge of statistical analysis and predictive modeling

Understanding of manufacturing processes including robotics, welding, assembly or stamping is considered an asset

Experience with Microsoft Power BI or other visualization software

Knowledge of cloud computing platforms (Azure or AWS) considered an asset

Familiarity with Industrial IoT, OPC-UA, PLC communications and manufacturing data systems is considered an asset

Excellent analytical and problem-solving skills

Strong written and verbal communication skills

Ability to work independently and within cross-functional teams

Strong organizational and project management skills

Willingness to travel occasionally to Magna divisions and suppliers

Ability to work overtime as required to support production requirements

Job Specific Responsibilities

Design, develop, test and deploy machine learning models supporting manufacturing operations

Develop predictive maintenance models using production and equipment data





Create computer vision applications for automated weld quality inspection and defect detection

Analyze large manufacturing datasets to identify trends, root causes and opportunities for process improvementCollaborate with Manufacturing Engineering to improve welding, assembly and material handling processes using AI technologies

Work with Controls Engineers to integrate machine learning solutions into production equipment

Develop data pipelines to collect, clean and organize manufacturing data

Support Industry 4.0 initiatives including connected equipment, smart sensors and digital manufacturing

Build dashboards and reporting tools to communicate AI model performance and manufacturing KPIs

Monitor deployed machine learning models and retrain as necessary to maintain accuracy

Document software, algorithms and validation activities in accordance with company standards

Participate in equipment commissioning and validation activities where AI solutions are deployed

Support root cause investigations through advanced statistical and machine learning techniques

Work with Quality Engineers to improve First Time Quality (FTQ), reduce scrap and improve Overall Equipment Effectiveness (OEE)

Support implementation of predictive quality systems and anomaly detection solutions

Collaborate with Magna divisions to share AI best practices and standardized solutions

Maintain confidentiality of proprietary manufacturing data and intellectual property

Participate in continuous improvement initiatives using Lean Manufacturing principles

Ensure all work complies with Deco Automotive quality standards and customer requirements

Follow all compan

📌 A.I Engineer (Toronto)
🏢 Magna International
📍 Toronto