AI/ML Engineer

Air InfoSec

$88K — $105K *
Transportation
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2 years of experience with Python
  • 2 years of experience with SQL
  • 2 years of experience with data visualization tools (Power BI, Tableau, Streamlit, R Shiny, 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 (Airflow, Prefect, cloud-native equivalents)
  • 2 years of experience with model deployment and monitoring (REST APIs, gRPC)
  • 2 years of experience with AWS, Azure, GCP, or OCI AI services

Responsibilities

  • Evaluate emerging AI trends, tools, and vendor solutions for business applications
  • Run proof-of-concepts (PoCs) to assess new ideas
  • Design and build AI/ML models for specific business needs
  • Create scalable AI pipeline integrations into current systems
  • Collaborate with data, engineering, and software development teams

Benefits

  • Onsite work environment
  • Collaboration with a dedicated AI/ML team
  • Potential for impactful work on transportation technology
  • Opportunity to learn and apply cutting-edge AI tools
  • Experience with government projects that drive public innovation
Full Job Description
Job Description
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

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