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AI/ML Intern (Level II)

HireBlazerAustin, TX🇺🇸United StatesPosted 10 Sept 2026

Why This Role Stands Out

This 12-month AI/ML Internship offers an exciting opportunity to contribute to business innovation and gain hands-on experience with cutting-edge tools. You'll thrive here if you're a local Austin resident eager to develop your skills in a dynamic technology environment and make a real impact. Apply now to launch your career in AI/ML!

Quick Overview

Seniority
Entry Level
Work mode
On Site
Location
Austin, TX, United States
Posted
20 hours ago
DockerSQLAWSETLTableauAirflowAzureComputer VisionGitGoogle CloudKubernetesPythonRESTgRPC

Job Description

Role: AI/ML Intern (Level II)

Duration: 12-months

Location: Austin, TX 78744 (Need Locals)

Note: This role requires onsite presence 4–5 days per week. Candidates must reside in the Austin area and be authorized to work in the U.S.

 

The client work to be accomplished:

  • The AI Development team in ITD undertakes rapid development initiatives using AI/ML tools and platforms with the goal to drive business innovation at the Texas Department of Transportation.
  • Evaluate emerging AI trends, tools, and vendor solutions against business use-cases.
  • Run proof-of-concepts (PoCs) to test feasibility of new ideas.
  • Design and build applications and AI/ML models tailored to specific use cases (e.g., predictive analytics, natural language processing, computer vision) prioritized for the AI Program.
  • Create scalable AI pipelines that can be integrated into existing systems.
  • Collaborate with data, engineering, and software development teams.

 

Minimum Yrs of Experience, Skills, and Qualifications:

  • Possesses raw knowledge and skillset through coursework with some hands on work experience in the following areas:
  • Python and SQL skills
  • Data Visualization skills with tools like PowerBI, Tableau, Streamlit, R Shiny, Matpotlib
  • Knowledge of Object-oriented programming & design patterns
  • Unit testing, CI/CD, Git, containerization (Docker)
  • Data pipelines and ETL (Airflow, Prefect, or cloud-native equivalents)
  • Model deployment (REST APIs, gRPC, serverless), monitoring, and versioning
  • AWS / Azure / Google Cloud Platform / OCI AI services
  • Cloud-native training/inference environments (SageMaker, Bedrock, Vertex AI, Azure ML)
  • Kubernetes and Docker
  • Code assist tools (Claude code, Codex, Cursor, etc)

 

Preferred Skills and Qualifications

  • Experience or class studies related to transportation and traffic analysis

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