- Location
- CALLE UNO 104 PARQUE INDUSTRIAL SANTA MARIA,25903,RAMOS,MX, Mexico
- Type
- Full-time
- Department
- Engineering
- Experience
- 5+ years
- Source
- Workday
Description
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What we offer:
Group Summary:
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.
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.
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