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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates foundational knowledge in Artificial Intelligence, Machine Learning, and Generative AI, with hands-on experience in developing AI-driven solutions. Strong analytical and problem-solving skills are essential for optimizing decisioning capabilities and enhancing customer experiences.
Highest-signal resume keywords
Artificial Intelligence (AI)Machine Learning (ML)Python ProgrammingGenerative AICloud Computing (AWS, Azure, GCP)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisPrompt EngineeringAI Model OptimizationData ModelingAI-Driven Decisioning
Soft Skills
Analytical ThinkingProblem-SolvingCommunicationCollaborationWillingness to Learn
Industry Keywords
Next Best Action (NBA)PersonalizationReal-Time DecisioningScalabilityReliability
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformJavaPython
About the role
Key responsibilities & impact- Support the development of proof-of-concept solutions
- Conduct testing and document findings
- Present recommendations to improve the reliability, scalability, and effectiveness of AI-driven decisioning
- Leverage AI, Machine Learning, and advanced decisioning technologies to deliver personalized customer experiences
- Collaborate with cross-functional teams to build scalable, reliable, and real-time decisioning capabilities
- Apply Generative AI, prompt engineering, and machine learning technologies to solve real-world challenges
- Develop, optimize, and integrate AI-driven solutions that enhance customer experience and operational efficiency
Requirements
What you’ll need- Currently pursuing a Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field
- Foundational knowledge of Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and Large Language Models (LLMs)
- Familiarity with Python and/or Java programming, data analysis, cloud computing, and software development concepts
- Exposure to prompt engineering, AI model optimization, data modeling, or AI-driven decisioning through coursework, academic projects, or personal projects
- Interest in developing intelligent decisioning solutions, personalization, and Next Best Action (NBA) recommendations
- Strong analytical thinking, problem-solving, communication, and collaboration skills, with a willingness to learn emerging technologies
- Hands-on experience with AI/ML frameworks, cloud platforms (AWS, Azure, or GCP), or relevant AI/ML certifications preferred but not required
- At least 18 years of age
- Legally authorized to work in the United States now and in the future
- Must have one or more courses remaining in a Bachelor's or Graduate degree program after the internship
- T-Mobile or Metro by T-Mobile employees are ineligible for external Summer Internships
Benefits
Comp & perks- 11-week paid learning experience
- Relocation assistance for program participants residing more than 50 miles from the internship location
- Hands-on projects and training
- Mentorship from company leaders and employees
- Internship wages of $27/hour to $50/hour
