Posted April 30, 2026, closed June 7, 2026. Check out similar open roles below.
Best suited to early-career AI enthusiasts with Python proficiency who can commit to an on-site internship in Austin.
Derived from job-description analysis by Serendipath's career intelligence engine.
This AI/Machine Learning Engineer Intern role is ideal for a tech-savvy individual with a strong foundation in AI and data science, who can assist in evaluating emerging trends and support proof-of-concept efforts, all while contributing to the development of AI/ML models and prototype applications.
Original posting from Luna Data Solutions via Indeed
Luna Data Solutions has an immediate contract position opening for an AI/Machine Learning Engineer Intern resource. This is a long-term contract position opening (contract term 12 months+) with our public sector industry client located in Austin, TX. *This resource must work onsite 4 to 5 days/week (dependent upon the manager's directive each week). All candidates must be currently local/close to the Austin, TX area.
Role: AI/Machine Learning Engineer Intern
Role Description:
The AI Apprenticeship Program establishes a sustainable, governed pathway for developing entry-level AI talent in support of the client's AI Strategic Plan.
Key Activities/Responsibilities:
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 clearly communicate findings and outcomes
- Collaborate with data, engineering, software development, and governance teams
Required Qualifications:
- 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
- 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
- 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 Qualifications:
(Exposure or Academic Experience is Acceptable)
- 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, GCP, OCI)
- Containerization concepts (Docker)
- CI/CD fundamentals
Monitoring or model versioning concepts
What we offer:
- Competitive compensation and benefits including health, dental, vision, STD, LTD, voluntary life insurance and more
- Great work/life balance
Luna Data Solutions, Inc. (LDS) provides equal employment opportunities to all employees. All applicants will be considered for employment. LDS prohibits discrimination and harassment of any type regarding age, race, color, religion, sexual orientation, gender identity, sex, national origin, genetics, protected veteran status, and/or disability status. A 7-year background check is required.