EchoStar is looking to solve business and technical problems in the wireless and technology industries, specifically in AI development and enablement, to drive innovation and stay connected with millions of customers.
Requirements
- 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)
- Familiarity with cloud platforms (like AWS or Azure) is a bonus
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
Other
- 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
- Successful completion of a pre-employment screen including a reference check, criminal background check, and possible drug test
- Visa sponsorship not available for this role
