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# Contract Role - Data Scientist - Computer Vision

- **Company:** ELWOOD PROFESSIONAL
- **Location:** Auburn Hills, MI, United States
- **Experience:** Expert
- **Salary:** $135,200.0
- **Contract:** Temporary to permanent
- **Skills:** Agile Methodology, Artificial Intelligence, Computer Vision, Microsoft Azure, Software Code Optimization, Nvidia CUDA, Python (Programming Language), Machine Learning, Tensorflow, Graphics Processing Unit (GPU), Pytorch, Deep Learning, Parallel Computation, Information Technology
- **Published:** September 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c26faff88aae6345

## About the Role

Seeking a Data Scientist to with 5 years of Machine Learning experience!, * 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
 * 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.
 * Experience working in Agile and on a cloud provider (such as Azure) would be a plus

We are an Equal Opportunity Employer and celebrate diversity at all levels of our organization.