AI Development and Enablement Intern
US-CO-Littleton
Attract-careers1
Req #: 95909
Type: Intern
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Overview: At EchoStar, hard work is rewarded with limitless opportunities. We're looking at more than your education and previous work experience, we want individuals who are bright, energetic and ambitious. We believe the critical thinking skills you learn in college can be applied across a variety of business functions, regardless of your major. The opportunities at EchoStar will provide you with a potential fast track for career advancement. Our internship program is designed to give you comprehensive experience in the fast-paced world of wireless and technology industries. With hands-on field experience and business projects, you will get an in-depth look at how our business works and where you fit into it. Help us build our brand while we help you build yours. Our interns partner with teams across EchoStar working to drive our latest game-changing innovation. Our internship is a 10 week, in-person experience that is paid hourly with eligible overtime. Interns are given a business project(s) to complete over the summer and present their results to leadership and their peers. EchoStar provides each intern with a manager to support them with the execution of their project. All opportunities are located in Denver, CO unless otherwise stated. Responsibilities: EchoStar has an exciting opportunity for an AI Development and Enablement Intern. This position will be located at our office in Littleton, CO. Key Responsibilities: * Assist in the end-to-end ML model lifecycle: data preprocessing, feature engineering, training, and validation * Work on specific AI projects, such as network anomaly detection or predictive analytics for customer behavior * Help develop documentation and simple tutorials to support AI "enablement" for business users * Support the MLOps AI Office team in testing and deploying models into production Qualifications: Education and Experience: * GPA 3.3 or above * Currently enrolled in an undergraduate or graduate program, in a related field of study * Must have 60 credit hours completed by May 2026 Skills and Qualifications: * Successful completion of a pre-employment screen including a reference check, criminal background check, and possible drug test * Strong foundational programming skills in Python, including experience with libraries like Pandas, Scikit-learn, and TensorFlow or PyTorch * Solid understanding of core machine learning algorithms (e.g., regression, classification, clustering) * Good communication skills and an interest in teaching technical concepts * Familiarity with cloud platforms (like AWS or Azure) is a bonus Visa sponsorship not available for this role
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