Intern - AI Engineering

Job Description

MidAmerican Energy Company one of the largest renewable energy producers in the U.S is headquartered in Des Moines, Iowa, safely meeting the energy needs of more than 1.6 million customers in Iowa, Illinois, Nebraska, and South Dakota. A subsidiary of Berkshire Hathaway Energy, we have more than 3,400 dedicated employees serving our customers every day across our service territory.

Interns will have the opportunity to participate in the annual three-day summer intern event in Des Moines, Iowa where they will have the opportunity to tour state-of-the-art facilities, network with leadership, and gain a broader understanding of MidAmerican Energy Company. Other panels, lunch and learns, and events will be happening throughout the summer to give our interns the best experience.

Responsibilities

Primary Job Duties and Responsibilities

• Assist in developing and deploying AI models and solutions under the guidance of senior team members.
• Collaborate with team members and business groups to understand requirements and support AI-driven projects.
• Help prepare and preprocess datasets for machine learning and AI model development.
• Perform basic data exploration, cleaning, and feature engineering using Python and SQL.
• Support the implementation of machine learning algorithms and AI workflows in cloud environments (e.g., Azure, Databricks, Foundry).
• Learn and assist in integrating AI models into applications or pipelines for use cases.
• Conduct simple testing and validation of AI models to ensure accuracy and performance.
• Document AI development processes, experiments, and results for transparency and learning.
• Collaborate using Microsoft Teams, Microsoft Office, and Azure DevOps for communication and project organization.
• Respond to feedback from team members and strive for continuous learning and improvement in AI engineering practices.
• Perform any additional responsibilities as requested or assigned.

Performance Expectations

• Perform responsibilities as directed within determined time frames and with a high degree of accuracy.
• Establish and maintain effective work relationships within the department and the company.
• Maintain the professional competence, knowledge and skills necessary to effectively complete responsibilities; enhance job knowledge and abilities by taking personal responsibility for professional development and training.
• Maintain sensitive and confidential information regarding company information.
• Attend work on a regular basis and support the company's employee policies and procedures, including workplace safety rules.
• Ensure all compliance aspects of position are known and followed; understand and comply with all policies, codes and regulations applicable to position and company.

Qualifications

Skills for Success

• Effective oral and written communication skills.
• Effective analytical and problem-solving skills.
• Effective interpersonal skills and customer relationship skills
• Ability to prioritize and handle multiple tasks and projects concurrently.
• Experience using Python and Spark to develop machine learning or statistical models.
• Experience using LLM's to build Retrieval Augmented Generation Models.
• Experience using SQL to work with database tables and ETL processes.
• Taken coursework in data analytics, machine learning, statistics, or computational mathematics preferred.

Qualifications

• Must be a college student, sophomore, or higher standing, currently enrolled in a bachelor's or master's degree program in data analytics, data science, computer science, management information systems, mathematics, or related field of study.
• Must be available June 2026 - August 2026.
• Working knowledge of Microsoft Office and the Windows operating environment.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.