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