About the role
Lear For You We work hard for the people who work for us. We champion our teams and foster collaboration, inclusion, respect and excellence. Because we want to be more for you. A path to a better career. A better future.
Our teams have invented groundbreaking technologies, manufactured millions of products and earned a long list of awards. Year after year, we’re named one of the World’s Most Admired Companies.
They’re the secret to our success—empowered, inventive and inclusive. Passionate about their craft. Driven to succeed. Because we win together.
Are you ready for a better career? A better future?
Job Description As an AI Engineer, you design, deploy, and optimize computer vision and machine learning solutions that support smart industrial manufacturing. You work closely with AI and software engineering teams to build scalable, production-ready systems that deliver measurable business value.
Responsibilities Design and develop end-to-end machine learning and computer vision solutions for industrial automation use cases.
Lead the full MLOps lifecycle, from solution design and data preparation to deployment and monitoring.
Build scalable data processing, model training, and inference pipelines for production environments.
Train, validate, and optimize machine learning and deep learning models using modern AI techniques.
Deploy AI models into complex technical systems and support their integration with software applications.
Monitor model performance, troubleshoot issues, and continuously improve accuracy and reliability.
Evaluate emerging AI, computer vision, and multimodal technologies and recommend practical applications.
Support and mentor junior AI team members while promoting knowledge sharing and best practices.
Experience Requirements Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, or equivalent experience.
5+ years of experience developing and deploying machine learning and computer vision solutions in production environments.
Advanced proficiency in Python and hands-on experience with PyTorch, Scikit-learn, OpenCV, Transformers, and related AI libraries.
3+ years of experience managing the full machine learning lifecycle, including data preparation, model training, deployment, and monitoring.
Strong knowledge of modern computer vision techniques, GPU-based computing environments, software engineering best practices, GitHub version control, and collaborative development workflows.
Equal Opportunity Employer Lear Corporation is committed to fair, merit‑based employment practices and equal opportunity.
We provide reasonable accommodations in accordance with applicable law. For assistance during the application process, contact your recruiter directly.
Applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the country where the position is located. Unsolicited resumes from search firms, employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.
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