AI/Machine Learning Engineer Intern

Overview

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 fundamentalsMonitoring 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.

Company:

Luna Data Solutions

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry, Machine Learning, NLP, United States