AI/ML Engineer/Machine Learning Engineer at Austin, TX (Locals Only)

Jobs via Dice
Austin, US
On-site

Job Description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Cynosure Technologies LLC, is seeking the following. Apply via Dice today!

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

Skills & Requirements

Technical Skills

PythonJavaC++GoObject-oriented programmingDesign patternsUnit testingCi/cdGitContainerization (docker)Data pipelines (airflow, prefect, cloud-native equivalents)Model deployment (rest apis, grpc, serverless)MonitoringVersioningAwsAzureGoogle cloud platformOci ai servicesCloud-native training/inference environments (sagemaker, vertex ai, azure ml)Kubernetes

Employment Type

FULL TIME

Level

junior

Posted

4/14/2026

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