Generative AI / Machine Learning Test Automation Engineer

Job Description: • Develop AI solutions and intelligent agents tailored to automotive use cases. • Automated generation of new test cases & 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 an added advantage • Should be able to support the 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, Power BI, and Qlik Sense