AI/ML Intern (Level II)

Austin, TX, US • Posted 1 day ago • Updated 5 hours ago
Contract W2
12 Months
No Travel Required
On-site
$30/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Cloud Computing
  • Continuous Integration
  • Continuous Delivery
  • Docker
  • Data Engineering
  • Python
  • R
  • SQL
  • Tableau
  • Microsoft Power BI
  • Kubernetes
  • Visualization
  • Google Cloud Platform
  • Computer Vision
  • Amazon SageMaker
  • Microsoft Azure
  • Natural Language Processing
  • Machine Learning (ML)

Summary

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91102157
  • Position Id: 9080703
  • Posted 1 day ago
Contact the job poster
Kumar Kosi

Kumar Kosi

Technical Recruiter @ HireBlazer
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