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

Skills Required

Tensorflow, Github, Pytorch, C++, Linux, Python