Lorven Technologies, Inc.
Hybrid - Generative AI / Machine Learning Test Automation Engineer - Dearborn, M
Lorven Technologies, Inc., Dearborn, Michigan, United States, 48120
Our client is looking for a Generative AI / Machine Learning Test Automation Engineer with a Contract project in Dearborn, MI (Hybrid) . Below is the detailed requirement.
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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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
J-18808-Ljbffr
#J-18808-Ljbffr