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Generative AI /Machine Learning Test Automation Engineer

Themesoft Inc. · Dearborn, MI · $14k

Actively hiring Posted 7 months ago

Job description:

• Develop AI solutions and intelligent agents tailored to automotive use cases.

• 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

o Vector CANalyzer, VDR, VCM, Canopy, and Diagnostic Interface: ISO14229, 11Bit, max. 1MBaud

• Automation and Development tools/services:

o Pycharm, Visual Studio Code, Squish, Chromium/Selenium, Appium, GCS, Hopscotch – Postman, and Matlab

• Third-Party supplied tools:

o TestRail, JIRA Cloud, Github, Jenkins, JFROG, Grafana, Nexus, Confluence, Jama, ATI Vision, SAP, MIRO, Figma, MS Suite, Oracle, PowerBI, and Qliksense

Thank you

Vinod

[email protected]

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Contract Ai Machine Learning Data Science Generative Ai
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