AI/ML Engineer/Machine Learning Engineer Local to Austin only

Austin, TX, US • Posted 2 days ago • Updated 4 hours ago
Contract W2
Contract Corp To Corp
Contract Independent
On-site
Depends on Experience
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • Artificial Intelligence
  • Cloud Computing
  • Collaboration
  • Computer Vision
  • Continuous Delivery
  • Continuous Integration
  • Data Engineering
  • Docker
  • Git
  • Google Cloud
  • Google Cloud Platform
  • Java
  • Kubernetes
  • Machine Learning (ML)
  • Microsoft Azure
  • Natural Language Processing
  • OCI
  • Predictive Analytics
  • Python
  • Software Development
  • Testing
  • Training
  • Use Cases
  • Vertex
  • C++
  • Amazon SageMaker

Summary

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10123013
  • Position Id: 8941789
  • Posted 2 days ago
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