Artificial Intelligence/Machine Learning Engineer 2

About

The AI Innovation 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.

Responsibilities

• 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.

Requirements

• Strong Python programming skills.
• Familiarity with Java, C++, or Go for production environments.
• Knowledge of object-oriented programming and design patterns.
• Experience with unit testing, CI/CD, Git, and containerization (Docker).
• Experience with data pipelines (Airflow, Prefect, or cloud-native equivalents).
• Experience with model deployment (REST APIs, gRPC, serverless), monitoring, and versioning.
• Experience with AWS, Azure, Google Cloud Platform, or OCI AI services.
• Experience with cloud-native training/inference environments (SageMaker, Vertex AI, Azure ML).
• Experience with Kubernetes for scalable inference.