AI/ML Engineer for Austin, TX, onsite job (need local to Austin)

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Artificial Intelligence/Machine Learning Engineer 2 for Austin, TX, onsite job (needs local to Austin)

Job Description

The AI Innovation team in ITD undertakes rapid development initiatives using AI/ML tools and platforms with the goal to drive business innovation.

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:

Strong Python, familiarity with Java / C++ / Go for production environments

Object-oriented programming & design patterns

Unit testing, CI/CD, Git, containerization (Docker)

Data pipelines (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, Vertex AI, Azure ML)

Kubernetes for scalable inference