CorTech is hiring an onsite Data Scientist / Machine Learning Engineer to build and deploy AI and deep learning solutions for automotive use cases.

Design, develop, and deploy AI models for automotive problems, including computer vision and generative AI
Partner with cross-functional teams to understand business challenges and identify machine learning opportunities
Use generative AI models to support innovation across design, R&D, and manufacturing processes
Optimize existing machine learning models for performance and scalability using CUDA advanced GPU architectures and parallel computing frameworks
Build machine learning pipelines to preprocess data, train models, and evaluate performance metrics
Implement ML solutions using Python and deep learning frameworks such as PyTorch and TensorFlow
Apply statistical techniques and machine learning algorithms to solve complex automotive-sector problems
Keep up with advances in data science, machine learning, deep learning, and AI, and apply new knowledge to drive ongoing innovation
Develop and maintain documentation for data analysis methods, model development, and deployment processes to support reproducibility and compliance with industry standards

PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Minimum 5 years of experience in a machine learning engineering role, preferably in the automotive industry or related sector
Proven experience in machine learning, deep learning, and AI
Strong understanding of Python, CUDA, and GPU architectures for parallel computing and model optimization
Knowledge of machine learning architectures and techniques, with focus on computer vision and generative AI
Proficiency with deep learning frameworks including PyTorch and TensorFlow
Experience with parallel computing and optimization for high-performance computing environments
Ability to communicate complex concepts clearly to non-technical stakeholders
Innovative thinking and interest in tackling challenging problems and pushing technological boundaries
Strong analytical skills to interpret complex data and turn findings into practical, strategic insights
Proven experience developing and deploying machine learning models for real-world applications
Self-motivated approach to continuous learning and professional development
Experience with Agile and a cloud provider (e.g., Azure) is a plus
Required: industrial/manufacturing defect detection computer vision experience

Location: Auburn Hills, MI (onsite)

Salary: USD 135,000 - 170,000 per year

Data Scientist / Machine Learning Engineer

Job Description