Title: Artificial Intelligence/Machine Learning Engineer 2
Work Location: Austin, TX, onsite job
Client: Texas Department of Transportation
Interviews: In-person
Job Description.
- 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