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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