A.I Engineer (Machine Learning Engineer)

Magna International; Toronto; On-site; CAD 110,000 - 150,000; Full time

Job summary

Magna International in Toronto seeks a Machine Learning Engineer to design, develop and deploy AI solutions that enhance manufacturing operations, product quality and asset reliability.

You will collaborate with Manufacturing Engineering, Controls, Quality and IT to implement Industry 4.0 strategies, build data pipelines and dashboards, and support continuous improvement across welding and assembly processes.

Qualifications

• Bachelor’s degree in an engineering or technical field with 2–5 years in ML engineering.
• Experience developing production‑ready ML models.
• Strong Python programming skills.
• Experience with SQL databases and data analysis.
• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Knowledge of manufacturing processes or Industrial IoT is asset.

Responsibilities

• Design, develop, test and deploy ML models for manufacturing operations.
• Develop predictive maintenance models from production and equipment data.
• Create computer vision apps for weld quality inspection and defect detection.
• Analyze large datasets to identify trends and opportunities for process improvement.
• Collaborate with Manufacturing Engineering to improve welding, assembly and material handling with AI.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

SQL

Power BI

Azure/AWS

Education

Bachelor’s Degree in Engineering, Computer Science, Data Science, AI, Software Engineering or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Power BI

Job description

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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 innovative 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 company safety policies and procedures
• Performed all other duties as requested

General Responsibilities

• Accepts personal responsibility to plan and conduct work safely in compliance with the Occupational Health & Safety Act and all company policies and procedures
• Ensures automation equipment is designed and commissioned in accordance with applicable safety standards, including CSA, ANSI, and ISO requirements
• Supports risk assessments, machine guarding reviews, and Pre-Start Health and Safety Reviews (PSHSR)
• Understands, promotes, and lives Magna’s Employee Charter and Corporate Constitution
• Reports hazards and participates in continuous safety improvement activities
• Maintains good housekeeping in assigned work areas

Awareness, Unity, Empowerment

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.

Worker Type

Regular / Permanent

Group

Cosma International