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Air InfoSec, LLC VERIFIED EMPLOYER

AI/ML Engineer.

Data Science & ML Contract
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AI/ML Engineer: our view in 3 lines...

  • The Role:This role is for an intern-level AI and machine learning engineer supporting TxDOT’s AI Development team with emerging AI/ML technologies and business use cases.
  • The Person:The person will evaluate AI tools, run proof-of-concepts, build AI/ML models and applications, create scalable AI pipelines, and collaborate with data, engineering, and software development teams.
  • Requirements:The ideal candidate has 2 years of experience with Python, SQL, data visualization tools, object-oriented programming and design patterns, unit testing, CI/CD, Git, Docker, Airflow, REST APIs, gRPC, Kubernetes, and cloud AI services.

About the role

This is an onsite role; only local candidates will be considered.
The AI/ML Engineer (Intern Level 2) will support the Texas Department of Transportation (TxDOT) on the ITD AI Development team's rapid development initiatives using AI/ML tools and platforms. This role focuses on driving business innovation at TxDOT through the evaluation and application of emerging AI/ML technologies. The individual will contribute to the design, development, and deployment of AI/ML models and applications tailored to specific business use cases. This position collaborates closely with data, engineering, and software development teams to bring AI-driven solutions from concept to implementation.

Responsibilities

  • Evaluate emerging AI trends, tools, and vendor solutions against business use cases.
  • Run proof-of-concepts (PoCs) to test the feasibility of new ideas.
  • Design and build applications and AI/ML models tailored to specific use cases, including predictive analytics, natural language processing, and 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.

Requirements

Minimum Qualifications

  • 2 years of experience with Python.
  • 2 years of experience with SQL.
  • 2 years of experience with data visualization tools such as Power BI, Tableau, Streamlit, R Shiny, or Matplotlib.
  • 2 years of experience with object-oriented programming and design patterns.
  • 2 years of experience with unit testing, CI/CD, Git, and containerization (Docker).
  • 2 years of experience with data pipelines and ETL tools such as Airflow, Prefect, or cloud-native equivalents.
  • 2 years of experience with model deployment (REST APIs, gRPC, serverless), monitoring, and versioning.
  • 2 years of experience with AWS, Azure, GCP, or OCI AI services.
  • 2 years of experience with cloud-native training/inference environments such as SageMaker, Bedrock, Vertex AI, or Azure ML.
  • 2 years of experience with Kubernetes and Docker.
  • 2 years of experience with code assist tools such as Claude Code, Codex, or Cursor.

Preferred Qualifications

  • 2 years of experience or academic coursework related to transportation and traffic analysis.

Additional Requirements

  • Local candidates only; must currently reside within 50 miles of the Austin, Texas work location.
  • Candidates must be authorized to work in the U.S.

Work Location and Schedule
Location: TxDOT offices at 6230 E. Stassney Lane, Austin, Texas 78744
Schedule: Monday - Friday, 8:00 AM to 5:00 PM, onsite 4 to 5 days per week
Work Arrangement: Onsite

Published September 9, 2026
Location Austin, TX
Category Data Science & ML  
Job Type Contract  

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