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