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AI/ML Engineer

Air InfoSec

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 Air InfoSec

Vacancy posted 4 days ago
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