AI Engineer

Magna International · Ramos Arizpe, MX · 5 months ago

Employment: Full time
Category: AI engineering

agile ai analytics automation aws azure cloud computer-vision data-engineering data-pipelines data-science databricks gdpr

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:

Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That’s what we’re passionate about at Magna Powertrain, and we do it by creating world-class powertrain systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex powertrain systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Powertrain.

Job Responsibilities:

About the Role

Magna Powertrain is seeking a Senior AI Engineer to lead the design, development, and deployment of advanced artificial intelligence and machine learning solutions across our manufacturing and engineering operations. This role will play a critical part in driving digital transformation initiatives, improving operational efficiency, and enabling smart factory capabilities.

You will collaborate with cross-functional teams including manufacturing, quality, IT, and engineering to deliver scalable AI-driven solutions that create measurable business impact.

Key Responsibilities

Design, develop, and deploy AI/ML models for manufacturing optimization, predictive maintenance, and quality analytics

Lead end-to-end AI solution lifecycle: data acquisition, model development, validation, deployment, and monitoring

Collaborate with production and engineering teams to identify automation and optimization opportunities

Build and maintain data pipelines and scalable AI architectures

Apply advanced techniques in computer vision, NLP, and time-series analysis for industrial use cases

Mentor junior engineers and promote best practices in AI development

Ensure solutions align with Magna’s digital transformation and Industry 4.0 strategy

Minimum Qualifications

 Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related field

 5+ years of experience in AI/ML development in industrial or enterprise environments including 3rd part systems integration

 Strong programming skills in Python and experience with AI frameworks (TensorFlow, PyTorch, etc.)

 Experience working with RDBMS and NoSQL database systems (e.g., SQL Server, PostgreSQL, MongoDB, etc.)

 Experience with data engineering (Databricks, Microsoft Fabric), cloud platforms (Azure, AWS) and deployment pipelines

 Solid understanding of statistical modeling and machine learning algorithms

 Hands-on experience with Agile methodologies (Scrum, Kanban, SAFe)

 Fluent in Spanish (mandatory) and professional working proficiency in English

Preferred Qualifications

Experience in the automotive or manufacturing industry

Knowledge of Industry 4.0 technologies, IoT, and smart factories

Hands-on experience with computer vision (e.g., defect detection)

Familiarity with MLOps practices and model lifecycle management

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.

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What we offer:

Group Summary:

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