Job Description:
ML ops skillset:
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 settings 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