Senior Machine Learning Engineer (Computer Vision & AI)

faurecia S.A.; Auburn Hills (MI); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

22 hours of training at FORVIA University

Multicultural environment

Opportunities for career development

Job summary

faurecia S.A. in Auburn Hills, Michigan is seeking a Senior Machine Learning Engineer to develop and deploy innovative AI solutions across its automotive products. In this role, candidates will focus on applied machine learning solutions emphasizing computer vision and predictive analytics, collaborating with engineering teams to ensure model effectiveness.

The ideal candidate will possess advanced degrees in relevant fields and have strong experience in deploying machine learning models. Faurecia fosters a collaborative and dynamic environment, providing resources for continuous learning and development.

Qualifications

• 5+ years of hands-on experience in machine learning or applied AI roles.
• Experience building and deploying models in production environments.
• Familiarity with GPU acceleration and performance optimization techniques.

Responsibilities

• Design, develop, and deploy machine learning models focused on computer vision and predictive maintenance.
• Build and maintain end-to-end ML pipelines.
• Collaborate with cross-functional teams to translate problems into scalable AI solutions.

Skills

Machine Learning expertise

Deep Learning

Computer Vision

Python programming

Problem-solving skills

Education

Master’s or PhD in Computer Science or related field

Tools

PyTorch

TensorFlow

Azure

Job description

Forvia, a sustainable mobility technology leader

Role Summary

As a Senior Machine Learning Engineer, you will play a key role in developing and deploying advanced AI solutions that drive innovation across our automotive products and manufacturing processes. This role is focused on applied machine learning, with an emphasis on computer vision, predictive analytics, and scalable model deployment. You will partner with cross‑functional teams across engineering, manufacturing, and R&D to design, build, and productionize machine learning models that deliver measurable business impact. This is a hands‑on role requiring strong technical depth, ownership of model lifecycle, and the ability to operate effectively in a fast‑paced, evolving environment.

Key Responsibilities

• Design, develop and deploy machine learning models with a focus on computer vision, predictive maintenance and anomaly detection
• Build and maintain end‑to‑end ML pipelines, including data preprocessing, model training, evaluation and deployment
• Collaborate with engineering, manufacturing and business stakeholders to translate real‑world problems into scalable AI solutions
• Optimize model performance and scalability using GPU acceleration and parallel computing frameworks
• Leverage Python and deep learning frameworks (PyTorch, TensorFlow) to implement production‑ready solutions
• Partner with data and software engineering teams to integrate models into production systems and workflows
• Contribute to AI innovation initiatives, including exploration of generative AI use cases in design and engineering contexts
• Ensure best practices in model reproducibility, documentation and performance monitoring
• Stay current with advancements in machine learning and apply relevant techniques to improve existing capabilities

Your Profile & Competencies

• Master’s or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field
• 5+ years (preferably 7+) of hands‑on experience in machine learning or applied AI roles
• Strong expertise in machine learning and deep learning, with practical experience in computer vision applications
• Proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow
• Experience building and deploying models in production environments
• Familiarity with GPU acceleration (CUDA or similar frameworks) and performance optimization techniques
• Experience with ML pipelines, model lifecycle management and scalable system design
• Ability to work effectively in matrixed, cross‑functional environments
• Strong problem‑solving and analytical skills, with the ability to translate complex data into actionable insights
• Effective communicator, able to explain technical concepts to non‑technical stakeholders
• Experience in automotive, manufacturing or industrial environments is a strong plus
• Familiarity with cloud platforms (e.g., Azure) and Agile development practices is preferred

What we can do for you

• We provide an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies.
• Our company is the seventh‑largest global automotive supplier, offering ample opportunities for career development.
• We welcome energetic and agile people who can thrive in a fast‑changing environment and share our strong values.
• We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in‑person training within FORVIA University.
• We offer a multicultural environment that values diversity and international collaboration and have adopted gender diversity targets and inclusion action plans.
• We are committed to achieving CO2 Net Zero. In June2022, Forvia became the first global automotive group to be certified with the new SBTI Net‑Zero Standard.