Provide support to Savannah River Mission Completion (SRMC) as a Computer Science (Artificial Intelligence/Machine Learning) Intern - Limited Service Employee (LSE) on the Savannah River Site (SRS), a US Department of Energy (DOE) facility in Aiken, South Carolina.
Requirements
- Knowledge of general concepts of machine learning, such as supervised and unsupervised learning, classification, and regression, etc.
- Basic knowledge of statistical analysis, testing, etc.
- Data visualization skills, such as creating charts, graphs, tables, etc.
- Ability to learn new technologies to include artificial intelligence (AI), machine learning (ML) and solve problems.
Responsibilities
- Collecting and analyzing process data using tools like Excel, PI, databases, etc.
- Evaluating and recommending solutions to improve process efficiency and performance using engineering and technical tools like artificial intelligence (AI), machine learning (ML), simulators, modeling, etc.
- Documenting and presenting findings and recommendations using tools like Microsoft Word, PowerPoint, Visio, etc.
- Supporting the system obsolescence review by identifying and assessing the impact of outdated or obsolete components or technologies
- Creating and maintaining dashboards and reports using tools like Power BI, Tableau, Excel, etc.
Other
- Candidate must be enrolled as a full-time student at: An accredited four-year university, and currently working towards a Bachelor’s Degree in Computer Science or equivalent
- Must have completed their Sophomore year
- Must pass General Employment Training (GET)
- Must pass Drug and Alcohol Testing (DAT)
- A valid Driver’s License, Registration and proof of automobile insurance is required for driving on the Savannah River Site.
