Data Scientist
Faurecia
•
Auburn Hills, MI
0
0
0
0
Not Applicable
Posted April 3, 2026
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Responsibilities
Commitments
Responsibilities
- Design, develop, and deploy AI models, including but not limited to computer vision and generative AI, to solve complex problems in the automotive industry.
- Collaborate with cross-functional teams to understand business challenges and identify opportunities for leveraging machine learning technologies.
- Utilize generative AI models to innovate in design, R&D and manufacturing processes.
- Optimize existing ML models for performance and scalability, leveraging CUDA advanced GPU architectures and parallel computing frameworks for efficient computation.
- Design and implement machine learning pipelines to preprocess data, train models, and evaluate performance metrics.
- Utilize Python programming language and deep learning frameworks such as PyTorch and TensorFlow to implement machine learning solutions.
- Apply statistical techniques and machine learning algorithms to solve complex problems in the automotive sector.
- Stay abreast of the latest developments in data science, machine learning, deep learning, and AI technologies, and apply this knowledge to drive continuous innovation within the company.
- Develop and maintain documentation for data analysis methodologies, model development, and deployment processes, ensuring reproducibility and compliance with industry standards.
Commitments
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.
Team players with a collaborative mindset and a passion to deliver high standards for our clients.
Lifelong learners.
High performers.
Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world)
Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5°C.
You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world.
In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard.
We have committed to reach CO2 Net Zero by no later than 2045.
Not Met Priorities
What still needs stronger evidence
Requirements
- Proven experience in machine learning, deep learning, and AI.
- Excellent understanding of Python programming language, CUDA, and GPU architectures for parallel computing and model optimization.
- Strong knowledge of machine learning architectures and techniques, with a focus on computer vision and generative AI.
- Proficiency in deep learning frameworks such as PyTorch and TensorFlow.
- Experience with parallel computing and optimization for high-performance computing environments.
- Ability to work collaboratively in a team and communicate complex concepts clearly to non-technical stakeholders.
- Innovative thinking with a passion for tackling challenging problems and pushing technological boundaries.
- Solid foundation in machine learning architectures, techniques, and frameworks, with a particular emphasis on applications in computer vision and generative AI.
- Excellent analytical skills, with the ability to interpret complex data and translate findings into strategic insights and practical solutions.
- Strong communication skills, capable of conveying technical concepts to non-technical stakeholders.
- Minimum of 5 years’ experience in a machine learning engineering role, preferably within the automotive industry or a related sector.
- Proven experience in developing and deploying machine learning models for real-world applications.
- Self-motivated with a passion for continuous learning and professional development.
Preferred Skills
- Excellent understanding of Python programming language, CUDA, and GPU architectures for parallel computing and model optimization.
- Minimum of 5 years’ experience in a machine learning engineering role, preferably within the automotive industry or a related sector.
- Proven experience in developing and deploying machine learning models for real-world applications.
- Experience working in Agile and on a cloud provider (such as Azure) would be a plus
Education
- (Not required) – PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
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 Data Scientist / Machine Learning Engineer, you will be an integral part of our team, playing a pivotal role in leveraging data-driven insights to enhance our products and services and in developing and implementing cutting-edge ML and deep learning solutions across a variety of use cases. Your responsibilities will span a wide range of use cases, including computer vision for object detection and recognition, predictive maintenance, anomaly detection, to pioneering generative AI projects and design optimization. You will work closely with cross-functional teams to design, develop, and deploy AI models that improve our efficiency and innovation. Your contributions will directly impact our success in the automotive sector.
Key Responsibilities
Design, develop, and deploy AI models, including but not limited to computer vision and generative AI, to solve complex problems in the automotive industry.
Collaborate with cross-functional teams to understand business challenges and identify opportunities for leveraging machine learning technologies.
Utilize generative AI models to innovate in design, R&D and manufacturing processes.
Optimize existing ML models for performance and scalability, leveraging CUDA advanced GPU architectures and parallel computing frameworks for efficient computation.
Design and implement machine learning pipelines to preprocess data, train models, and evaluate performance metrics.
Utilize Python programming language and deep learning frameworks such as PyTorch and TensorFlow to implement machine learning solutions.
Apply statistical techniques and machine learning algorithms to solve complex problems in the automotive sector.
Stay abreast of the latest developments in data science, machine learning, deep learning, and AI technologies, and apply this knowledge to drive continuous innovation within the company.
Develop and maintain documentation for data analysis methodologies, model development, and deployment processes, ensuring reproducibility and compliance with industry standards.
Your profile and competencies to succeed
PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Proven experience in machine learning, deep learning, and AI.
Excellent understanding of Python programming language, CUDA, and GPU architectures for parallel computing and model optimization.
Strong knowledge of machine learning architectures and techniques, with a focus on computer vision and generative AI.
Proficiency in deep learning frameworks such as PyTorch and TensorFlow.
Experience with parallel computing and optimization for high-performance computing environments.
Ability to work collaboratively in a team and communicate complex concepts clearly to non-technical stakeholders.
Innovative thinking with a passion for tackling challenging problems and pushing technological boundaries.
Solid foundation in machine learning architectures, techniques, and frameworks, with a particular emphasis on applications in computer vision and generative AI.
Excellent analytical skills, with the ability to interpret complex data and translate findings into strategic insights and practical solutions.
Strong communication skills, capable of conveying technical concepts to non-technical stakeholders.
Minimum of 5 years’ experience in a machine learning engineering role, preferably within the automotive industry or a related sector.
Proven experience in developing and deploying machine learning models for real-world applications.
Self-motivated with a passion for continuous learning and professional development.
Experience working in Agile and on a cloud provider (such as Azure) would be a plus
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 create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans.
Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5°C. Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy.
Why join us
FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry.
With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world.
In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard. We have committed to reach CO2 Net Zero by no later than 2045.
As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere.
We pioneer technology for mobility experience that matter to people.
Your Mission, Roles And Responsibilities
Role Summary
As a Data Scientist / Machine Learning Engineer, you will be an integral part of our team, playing a pivotal role in leveraging data-driven insights to enhance our products and services and in developing and implementing cutting-edge ML and deep learning solutions across a variety of use cases. Your responsibilities will span a wide range of use cases, including computer vision for object detection and recognition, predictive maintenance, anomaly detection, to pioneering generative AI projects and design optimization. You will work closely with cross-functional teams to design, develop, and deploy AI models that improve our efficiency and innovation. Your contributions will directly impact our success in the automotive sector.
Key Responsibilities
Design, develop, and deploy AI models, including but not limited to computer vision and generative AI, to solve complex problems in the automotive industry.
Collaborate with cross-functional teams to understand business challenges and identify opportunities for leveraging machine learning technologies.
Utilize generative AI models to innovate in design, R&D and manufacturing processes.
Optimize existing ML models for performance and scalability, leveraging CUDA advanced GPU architectures and parallel computing frameworks for efficient computation.
Design and implement machine learning pipelines to preprocess data, train models, and evaluate performance metrics.
Utilize Python programming language and deep learning frameworks such as PyTorch and TensorFlow to implement machine learning solutions.
Apply statistical techniques and machine learning algorithms to solve complex problems in the automotive sector.
Stay abreast of the latest developments in data science, machine learning, deep learning, and AI technologies, and apply this knowledge to drive continuous innovation within the company.
Develop and maintain documentation for data analysis methodologies, model development, and deployment processes, ensuring reproducibility and compliance with industry standards.
Your profile and competencies to succeed
PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Proven experience in machine learning, deep learning, and AI.
Excellent understanding of Python programming language, CUDA, and GPU architectures for parallel computing and model optimization.
Strong knowledge of machine learning architectures and techniques, with a focus on computer vision and generative AI.
Proficiency in deep learning frameworks such as PyTorch and TensorFlow.
Experience with parallel computing and optimization for high-performance computing environments.
Ability to work collaboratively in a team and communicate complex concepts clearly to non-technical stakeholders.
Innovative thinking with a passion for tackling challenging problems and pushing technological boundaries.
Solid foundation in machine learning architectures, techniques, and frameworks, with a particular emphasis on applications in computer vision and generative AI.
Excellent analytical skills, with the ability to interpret complex data and translate findings into strategic insights and practical solutions.
Strong communication skills, capable of conveying technical concepts to non-technical stakeholders.
Minimum of 5 years’ experience in a machine learning engineering role, preferably within the automotive industry or a related sector.
Proven experience in developing and deploying machine learning models for real-world applications.
Self-motivated with a passion for continuous learning and professional development.
Experience working in Agile and on a cloud provider (such as Azure) would be a plus
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 create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans.
Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5°C. Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy.
Why join us
FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry.
With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world.
In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard. We have committed to reach CO2 Net Zero by no later than 2045.
As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere.