:

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

📌 Aiml Adas Bengaluru
🏢 Embitel Technologies
📍 Bengaluru