Senior Machine Learning Engineer; Computer Vision & AI

# Welcome to the Faurecia's Career Center Let us help you streamline your search. Upload your resume and we'll find the positions that best suit your qualifications.

- Relevant skills and experience will be listed so you know why those jobs are a match##

Job Description ##
** Forvia, a sustainable mobility technology leader
** We pioneer technology for mobility experience that matter to people.##
** Your mission, roles and responsibilities
** 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 product ionize 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, Tensor Flow) 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 and competencies to succeed
** 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 Tensor Flow
* 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
*** At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies.
* We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development.
* We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values. Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers. Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count.
* 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 (five campuses around the world)
* We offer a multicultural environment that values diversity and international collaboration. We believe that diversity is a strength. To…