Contract Role - Data Scientist - Computer Vision

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.

Elwood Staffing associates are eligible for a comprehensive and competitive benefits package plus an exclusive savings program, including:

• Medical/Vision/Dental/Rx plans
• Holiday Pay
• Teladoc (online care)
• Referral Bonus Incentive
• Weekly Pay
• 401k
• And More!

Contract Role - Data Scientist - Computer Vision Details:

• Contract to Hire position
• $65.00 /hour

• First Shift (Monday through Friday from 08:00am to 05:00pm)

• Design, develop, and deploy AI models, including but not limited to computer vision and generative AI, to solve complex problems in the automotive industry.
• 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