Onsite Artificial Intelligence Machine Learning Engineer 2 - Intern (Austin TX)

Role

The AI Apprenticeship Program establishes a sustainable and governed pathway for developing entry level AI talent in support of AI Strategic Plan. Under supervision, the intern will:

• Assist in evaluating emerging AI trends, tools, and vendor solutions against defined business use cases
• Support proof of concept (PoC) efforts to assess feasibility, data readiness, and potential value
• Contribute to the development of AI/ML models and prototype applications for prioritized use cases
• Help design and document data and AI pipelines that integrate with existing systems
• Create reports, analyses, and presentations that communicate findings and outcomes clearly
• Collaborate with data, engineering, software development, and governance teams

Level & Experience Alignment

Level 2 (Intern / Apprentice Equivalent): Typically 1-3 years of academic, internship, or entry level experience in AI, data science, software engineering, or a related field

• Possesses foundational knowledge of common concepts, tools, and practices
• Works under guidance using established processes and standards
• Does not typically exercise independent production decision making

Minimum Qualifications, Skills, and Experience

Education / Learning Background

• Proficiency in Python
• Familiarity with object oriented programming concepts
• Experience with version control (Git)
• Exposure to data processing, analysis, and basic model development
• Understanding of basic software development and testing concepts

Preferred Skills and Qualifications

• Familiarity with one or more of the following (hands on or academic):
• Data pipelines (e.g., Airflow, Prefect, or cloud native equivalents)
• Model deployment concepts (e.g., REST APIs, serverless patterns)
• Cloud platforms or AI services (AWS, Azure, Google Cloud Platform, OCI)
• Containerization concepts (Docker)
• CI/CD fundamentals
• Monitoring or model versioning concepts