AI/ML Intern — Data Pipelines & Prototyping in Austin

Luna Data Solutions Inc.; Austin, Northern (TX, KY); Hybrid; USD 28,000 - 39,000; Full time

Job summary

Luna Data Solutions, Inc. seeks an AI/Machine Learning Intern for a 12-month, onsite contract in Austin, TX. The role develops entry-level AI talent under supervision and involves evaluating AI trends, supporting PoCs, and building prototype AI/ML models.

Qualifications include 1–3 years related experience, coursework in CS/DS/Engineering/Math, and Python with basic OO concepts. Collaboration across data, engineering, and governance teams is expected.

Qualifications

• Typically 1–3 years of academic, internship, or entry-level experience in AI, data science, software engineering, or a related field
• Foundational knowledge of common AI/data science concepts and practices
• Works under guidance using established processes and standards
• Coursework toward or completion of a degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline
• Demonstrated interest in artificial intelligence, machine learning, and applied analytics

Responsibilities

• Assist in evaluating emerging AI trends, tools, and vendor solutions against defined business use cases
• Support proof-of-concept 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 clearly communicate findings and outcomes
• Collaborate with data, engineering, software development, and governance teams

Skills

Python

Object-oriented programming

Data analysis

Model development

Education

Bachelor's degree coursework in CS/DS/Engineering/Math

Tools

Git

Docker

Airflow/Prefect

Job description

Luna Data Solutions, Inc. seeks an AI/Machine Learning Intern for a 12-month, onsite contract in Austin, TX. The role develops entry-level AI talent under supervision and involves evaluating AI trends, supporting PoCs, and building prototype AI/ML models.

Qualifications include 1–3 years related experience, coursework in CS/DS/Engineering/Math, and Python with basic OO concepts. Collaboration across data, engineering, and governance teams is expected.