AIML - ADAS

Job Description: ML ops skillset: 1. Design and implement cloud solutions, build MLOps on Azure cloud 2. Build CI/CD pipelines and Automation using Github CI, GitHub Actions or similar tools 3. Experience in development of scalable tools for model training and model interference 4. Model: Refactoring and optimization, containerization, deployment, versioning, and monitoring 5. Model testing, validation, and tests automation 6. Worked on Azure cloud for Data Engineering [Data Preprocessing, Data cleaning, Data transformation, Data Injection] and Pipeline 7. Experience in creating visualization for Data and model metrics in cloud environments and linked with CI/CD/CT AI Skills: 1. Develop machine learning models and AI solutions (Preferred: experience in IN CABIN monitoring function] 2. Experience in Model optimization, Quantization for deploying cloud model in Edge Devices. 3. Experience with QNN APIs 3. Proficiency in Machine Learning Frameworks: Familiarity with frameworks such as TensorFlow, PyTorch, and ONNX 4. Proficiency in programming languages such as Python, C++ 5. 8. Work experience in Bazel scripts 6. Work experience in Linux development environment