
AI Internship - Located Onsite in Willmar, MN
Nova-Tech EngineeringWillmar, MN
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Job Description
AI InternPay: $18 - $21/HRLocation: Onsite in Willmar, MN | No ability to work remoteSchedule: 30-40 hours/weekTimeframe: A minimum of 3monthsWho is Nova-Tech Engineering?Headquartered in Willmar, MN, Nova-Tech Engineering is a growing, dynamic company founded in 1992 that began as one person’s passion to benefit the agricultural industry. Through innovative process automation technology, the company engineers and manufactures products that serve over 500 commercial poultry hatcheries in over 65 countries worldwide. Nova-Tech houses every aspect of its business on the MinnWest Technology Campus, including a manufacturing facility located just steps away from our engineering and drafting teams. Walking from building to building, you can observe our whole process, from concept to final product.The opportunity:We are looking for a motivated intern with foundational experience in machine learning and a strong background in Python programming to join our research and engineering teams. This internship offers hands-on experience in computer vision and machine learning, with opportunities to contribute to real-world projects and collaborate across disciplines.Responsibilities
- Develop and refine computer vision models for tasks such as image classification, object detection, or segmentation.
- Assist with data collection and preprocessing for ongoing AI research projects.
- Research and evaluate machine learning algorithms relevant to current initiatives.
- Collaborate with researchers, engineers, and technicians to support project development and deployment.
- Proficiency in Python, including experience with libraries like NumPy, Pandas, and Matplotlib.
- Experience training machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Familiarity with data preprocessing and handling.
- Experience working with image data, including tasks like classification, object detection, or segmentation.
- Knowledge of computer vision libraries such as OpenCV, PIL, or torchvision.
- Exposure to CNN architectures and techniques for improving model performance on visual tasks.
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field.
- Coursework or projects in machine learning, deep learning, or computer vision.
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