About the role
Job descriptions may display in multiple languages****based on your language selection.
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:
The Magna Exteriors portfolio of products includes access systems such as liftgates, exterior trim, modular systems, front-end modules including fascia, active aerodynamic systems and other lightweight structural components for automotive, commercial truck and other industrial markets.
Recognized globally as an innovator in all aspects of vehicle exteriors, Magna provides everything needed, from materials development and design through manufacturing and assembly, to help automakers create sleek, state-of-the-art vehicles across the world.
Job Responsibilities:
The Junior AI Engineer at Co-Ex-Tec is responsible for assisting in the development, training, and deployment of AI models aimed at optimizing manufacturing processes. This role involves working closely with data scientists to preprocess and analyze large datasets, ensuring data quality and integrity for AI model training and validation. The Junior AI Engineer will collaborate with cross-functional teams, including AI Engineers, Manufacturing Engineers, and Data Scientists, to understand project requirements and deliver effective AI solutions. Additionally, this role includes integrating AI solutions into the production environment, monitoring their performance, and participating in testing and validation to ensure project goals are met
-
AI Model Development:
Assist in developing, training, and deploying AI models to optimize manufacturing processes.
Participate in the design and implementation of machine learning algorithms and solutions.
-
Data Analysis & Preprocessing:
Work with data scientists to preprocess and analyze large datasets from various sources.
Ensure data quality and integrity for training and validating AI models.
-
Collaboration:
Collaborate with cross-functional teams, including AI Engineers, Manufacturing Engineers, and Data Scientists, to understand project requirements and deliver solutions.
Participate in team meetings and contribute to project planning and execution.
-
Implementation & Testing:
Help integrate AI solutions into the production environment and monitor their performance.
Assist in testing and validating AI models to ensure they meet project goals and objectives.
-
Learning & Development:
Stay updated with the latest advancements in AI and machine learning technologies.
Participate in training sessions and workshops to enhance technical skills.
EDUCATION & PROFESSIONAL EXPERIENCE:
- Bachelor’s or Masters degree in in Computer Science, Artificial Intelligence, Data Science or related field.
- Education and Experience in Industry 4.0 Technologies with Artificial Intelligence.
- Strong understanding of manufacturing processes and the use of technology to optimize operations
- Develop and manage APIs and databases (SQL/NoSQL) for app–AI model integration.
- Proficient with Python, SQL, TensorFlow, Keras, PyTorch, NumPy, Scikit-learn, Pandas and OpenCV
- MLOps, CI/CD for AI Pipelines, PyQt, Tkinter, Git
- Computer Vision (Object Detection, Segmentation, Image Processing), Predictive Analytics, NLP
- Machine Learning & Deep Learning Model Development
- Strong English communications both verbal and written
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.
Worker Type:
Regular / Permanent
Group:
Magna Exteriors
About Magna International
We see a future where everyone can live and move without limitations. That’s why we are developing technologies, systems and concepts that make vehicles safer and cleaner, while serving our communities, the planet and, above all, people.
Forward. For all.
Our common shares trade on the Toronto Stock Exchange (MG) and the New York Stock Exchange (MGA). For further information about Magna, visit www.magna.com.
About the role
Job descriptions may display in multiple languages****based on your language selection.
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:
The Magna Exteriors portfolio of products includes access systems such as liftgates, exterior trim, modular systems, front-end modules including fascia, active aerodynamic systems and other lightweight structural components for automotive, commercial truck and other industrial markets.
Recognized globally as an innovator in all aspects of vehicle exteriors, Magna provides everything needed, from materials development and design through manufacturing and assembly, to help automakers create sleek, state-of-the-art vehicles across the world.
Job Responsibilities:
The Junior AI Engineer at Co-Ex-Tec is responsible for assisting in the development, training, and deployment of AI models aimed at optimizing manufacturing processes. This role involves working closely with data scientists to preprocess and analyze large datasets, ensuring data quality and integrity for AI model training and validation. The Junior AI Engineer will collaborate with cross-functional teams, including AI Engineers, Manufacturing Engineers, and Data Scientists, to understand project requirements and deliver effective AI solutions. Additionally, this role includes integrating AI solutions into the production environment, monitoring their performance, and participating in testing and validation to ensure project goals are met
-
AI Model Development:
Assist in developing, training, and deploying AI models to optimize manufacturing processes.
Participate in the design and implementation of machine learning algorithms and solutions.
-
Data Analysis & Preprocessing:
Work with data scientists to preprocess and analyze large datasets from various sources.
Ensure data quality and integrity for training and validating AI models.
-
Collaboration:
Collaborate with cross-functional teams, including AI Engineers, Manufacturing Engineers, and Data Scientists, to understand project requirements and deliver solutions.
Participate in team meetings and contribute to project planning and execution.
-
Implementation & Testing:
Help integrate AI solutions into the production environment and monitor their performance.
Assist in testing and validating AI models to ensure they meet project goals and objectives.
-
Learning & Development:
Stay updated with the latest advancements in AI and machine learning technologies.
Participate in training sessions and workshops to enhance technical skills.
EDUCATION & PROFESSIONAL EXPERIENCE:
- Bachelor’s or Masters degree in in Computer Science, Artificial Intelligence, Data Science or related field.
- Education and Experience in Industry 4.0 Technologies with Artificial Intelligence.
- Strong understanding of manufacturing processes and the use of technology to optimize operations
- Develop and manage APIs and databases (SQL/NoSQL) for app–AI model integration.
- Proficient with Python, SQL, TensorFlow, Keras, PyTorch, NumPy, Scikit-learn, Pandas and OpenCV
- MLOps, CI/CD for AI Pipelines, PyQt, Tkinter, Git
- Computer Vision (Object Detection, Segmentation, Image Processing), Predictive Analytics, NLP
- Machine Learning & Deep Learning Model Development
- Strong English communications both verbal and written
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.
Worker Type:
Regular / Permanent
Group:
Magna Exteriors
About Magna International
We see a future where everyone can live and move without limitations. That’s why we are developing technologies, systems and concepts that make vehicles safer and cleaner, while serving our communities, the planet and, above all, people.
Forward. For all.
Our common shares trade on the Toronto Stock Exchange (MG) and the New York Stock Exchange (MGA). For further information about Magna, visit www.magna.com.