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Hybrid - Generative AI / Machine Learning Test Automation Engineer - Dearborn, MI - Lorven Technologies

Hybrid - Generative AI / Machine Learning Test Automation Engineer - Dearborn, MI - Lorven Technologies

Lorven technologiesDearborn, MI, United States
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Hi,

Our client is looking for an Generative AI / Machine Learning Test Automation Engineer with a Contract project Dearborn, MI (Hybrid) below is the detailed requirement.

Job Title : Generative AI / Machine Learning Test Automation Engineer

Location : Contract

Duration : Dearborn, MI (Hybrid)

Responsibilities

  • Develop AI solutions and intelligent agents tailored to automotive use cases.
  • Minimum 7 years of experience.
  • Automated generation of new test case & gap analysis based on data analysis and specific requirements.
  • Automated generation of new test cases based on data analysis and specific requirements.
  • Design and build web applications using Python and modern web frameworks.
  • Implement web services and APIs (e.g., Django REST Framework, FastAPI, Flask).
  • Develop RAG applications that leverage automotive knowledge bases and document sources.
  • Integrate and manage LLMs using AWS Bedrock and Amazon SageMaker for inference and fine tuning.
  • Fine tune AI / LLM models for domain specific performance and accuracy.
  • Test, deploy, monitor, and maintain AI systems in production environments.
  • Collaborate closely with data scientists and automotive engineers (HIL Tester, Feature Owners) to integrate AI into system architectures.
  • Continuously monitor AI research, industry trends, best practices, and relevant regulations.
  • Develop automated test cases, tools, and processes using object-oriented programming and / or AI or Machine-Learning frameworks.
  • Test Automation using Python, C#, ECU Test etc.
  • Good Experience in HIL Validation Platforms like DSPACE, In Vehicle Automation Testing, experience in Testing Tools like Vector CANOE, CANALYZER etc.
  • Good Experience / Knowledge working on Issue management, Defect Management and Version Management tools like JIRA, Github, SVN etc.
  • Good Knowledge of UDS Protocol, Validating Diag over CAN, DOIP, CAN, LIN Protocols etc.
  • Knowledge of ECU Test, CAPL Scripting etc. would be added advantage
  • Should be able to support DevOps Team in developing scripts for CI / CD using Python and validating the same

Tools

  • CAN - related tools / services
  • Vector CANalyzer, VDR, VCM, Canopy, and Diagnostic Interface : ISO14229, 11Bit, max. 1MBaud
  • Automation and Development tools / services :
  • Pycharm, Visual Studio Code, Squish, Chromium / Selenium, Appium, GCS, Hopscotch Postman, and Matlab

    • Third-Party supplied tools :

  • TestRail, JIRA Cloud, Github, Jenkins, JFROG, Grafana, Nexus, Confluence, Jama, ATI Vision, SAP, MIRO, Figma, MS Suite, Oracle, PowerBI, and Qliksense
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    Machine Learning Ai • Dearborn, MI, United States