Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 160,000 employees who use new technologies, dynamic insights and over 154 years of experience to connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive.
Internship Summary:
YOU MUST CURRENTLY BE ENROLLED AT THE UNIVERSITY OF ILLINOIS, URBANA-CHAMPAIGN (UIUC) FOR THIS INTERNSHIP OPPORTUNITY WITH CARGILL AT THE UIUC RESEARCH PARK
Want tobuild a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 160,000 employees who use new technologies, dynamic insights and over 154 years of experience to connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive. In partnership with Cargill, at the University of Illinois, Urbana Champaign (UIUC) research park, you will be given the opportunity as a graduate level intern to apply knowledge gained in the classroom to a real-life environment and then multiply by tenfold.
As a Data Science Intern, you will work collaboratively in multidisciplinary teams to develop proof of concepts, minimum viable products and fully deployable solutions. In this role, you will create complex predictive and optimization models that help deliver significant value to our businesses and functions. The focus of this role will be on manufacturing and operations problems.
This is a part-time Internship for UIUC students to take place either in the Fall 2021 semester or Spring 2022 Semester.
Key Accountabilities:
Job Location:
This position is located at the University of Illinois, Urbana-Champaign in Champaign, IL.
Required Qualifications:
Must be currently enrolled in a Master's or PhD program at the University of Illinois, Urbana Champaign in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Physics, or related fields with a graduation date of December 2021 or later
Able to complete a semester-long, part-time internship in the Fall of 2021 (August/Sept 2021 - December 2021) or Spring of 2022 (January - May 2022)
Experience developing and testing machine learning or statistical projects
Strong background in Computer Vision including image/video processing, object detection, classification and tracking. Knowledge and experience on using deep learning tools (e.g. TensorFlow, MXNet, PyTorch, etc.) for image/video analytics
Proficiency in Python (e.g., pandas, scikit-learn, bokeh, matplotlib, NumPy)
Excellent communication skills, both written and verbal
Preferred Qualifications:
Right to work in the United States without visa sponsorship.
Strong SQL skills
Strong data visualization skills
Experience in agriculture
Experience in a software development environment and code management or versioning
Experience working with AWS
Experience working with Hadoop and other distributed computing frameworks
Equal Opportunity Employer, including Disability/Vet.